eChapters

Introduction
Currently, about 350,000 species of flowering plants have been described under global flora, but only a few of them have been rigorously screened for plant breeding parameters and systematic research accomplished in terms of varietal development. According to the Great Medical Encyclopaedia, medicinal plants are those used as a source of raw material for preparation of medicinal products of natural origin. Medicinal and aromatic plants occupy a pivotal position in the socio cultural, health care and spiritual arena of rural people of India. Medicinal plants contribute significantly to the rural livelihoods for their sustenance and income generation. Medicinal and aromatic plants are being used since ancient time for the treatment of many diseases in traditional and recognized systems of healthcare and for therapeutic, fragrance and flavoring products in pharmaceutical and cosmetic industries besides as sources of natural dye, fat, essential oil, biopesticide, resin, protein, vitamin, condiment, spice, timber, fiber and other useful substances. Medicinal and aromatic plants-based livelihood systems are often mediated by the market forces and/ related directly to employment and income of the poor people.
Based on the research work carried out by International Development Research Centre (IDRC) in South Asia, MAP and other biodiversity-based livelihoods can not only become poverty alleviating but also been made socially equitable and gender balanced. According to the World Health Organization, 80% of people from developing countries depend mainly on traditional medicine for primary health care. India is one of the worlds’ richest sources of medicinal plants comprising of nearly 45,000 species, of which nearly 100 species find major commercial use as per the statistics of National Medicinal Plant Board, New Delhi. In 2017, the estimated global market value of herbal medicine and herbal supplements was in the region of $107 billion (Yao et al, 2019), and not surprisingly, the substantial demand and consumption of these products have resulted in shortages, and in some cases even the exhaustion, of several medicinal plant resources, leading to habitat destruction and the loss of genetic diversity.
Plant secondary metabolites specific to each medicinal herb are derived from the precursors obtained from the primary metabolic processes related to one plant species or related group of species. These metabolites protect plants against plants being eaten by herbivores or being infected by microbial pathogens. They serve as attractants for pollinators and as agents of plant-plant competition and plant microbe symbioses. The rise of chemical taxa of medicinal and aromatic plants can be considered as consequence of biochemical and metabolic processes mostly under genetic control. It is assumed that differentiation of cell is mostly manifested in chemo-differentiation at a molecular level and the fundamental differences of protein present in an organism, between different enzyme systems. Moreover, the identity of a medicinal plant is attributed to the dissimilarities in their metabolic profiling intra specific chemical adaptations influenced by the ecological and geographical conditions. This discrete chemical difference is known as poly chemism that occur in autogamous species like medicinal and aromatic plants

Introduction
Detailed understanding of the gene structure and functions are achieved in respect of the genes present in the nuclear genome. The knowledge of the gene functions is being applied in plant genetics and plant breeding. The different kinds of genetic variants are well captured and explained in crop improvement programmes. The organelle genomes, namely, chloroplast and mitochondria that are present outside the nucleus have not received much attention to understand this organization, structure, functions and in utilizing their genetic endowments in many of the plant development and functions. The organelle genomes present in the cytoplasm are providing cytoplasmic effect, cytonuclear and inter genome interactions that impact plant development, plant fertility and agronomic traits expression. It is estimated that 80% of the metabolites are affected by the variations in organelle genomes. The organelle genome also influences and regulates the activity of nuclear genes. The The chloroplast genome encodes proteins that are central to plant photosynthetic activity for plant photosynthesis producing sugar and mitochondria genomes as the energy powerhouse for the cells and they are very essential to provide support to the plant functions and biomass production that is converted to the crop yield. Together, the organelle genomes have disproportionate effects on the nuclear gene functions.
These two organelle genomes that exist outside the nuclear genomes, active in synthesizing food and energy for cell functions, are not as much considered and relied upon by the plant breeders although they are basic biological machineries. This chapter on the organelle genomes is designed to present the structure and genetic endowments and functioning of the chloroplast and mitochondrial

Introduction
The science of epigenomics has emerged as a key area of research across numerous biological disciplines. Epigenomics is the analysis of epigenetic changes occuring across many genes in a cell or entire organism, whereas the concept of epigenetics focuses on processes that regulate how and when certain genes are turned on and turned off. Understanding on the science of epigenetics can be traced back to the early hypothesis proposed by Aristotle to disprove the theory of preformation. Waddington’s initial conceptualization of epigenetics as a “conceptual tool” to integrate genetics and embryology established a foundational framework for subsequent research. Over time, advancements in molecular biology, developmental biology and evolutionary biology have since profoundly expanded and refined our understanding of epigenetics. Waddington further progressed in the 20th century with his introduction of the “Epigenetic Landscape” model (Baedke, 2013), marking a crucial milestone in the evolution of epigenetic theory.
In modern times, epigenetics refers to the study of heritable changes in gene expression or cellular phenotype that do not involve alterations to the underlying DNA sequence. Recent genetic and biochemical research has improved the understanding of various epigenetic regulation by three mechanisms including DNA methylation, histone modifications and non-coding RNA regulations. These mechanisms induce changes in chromatin conformation (active-open or repressiveclosed), which influences the gene expression that results in gene activation or gene silencing (Fig.1).
The transition between open and closed chromatin states, along with interactions among various epigenetic mechanisms, is essential to maintain optimal cellular function in diverse cell types, tissues and in response to varying developmental or environmental stimuli (Allis and Jenuwein, 2016).
Extensive studies in Arabidopsis led to a profound understanding of epigenetic mechanisms in plant growth and development. Later, intensive investigations was

Introduction
Eversince green revolution was introduced in 1960’s, the Indian agriculture has taken a series of transformations that resulted in paradigm shift from tradition farming to precision agriculture with an intend to address a wide array of challenges including burgeoning population, shrinking farm land, restricted water availability, imbalanced crop nutrition, multi-nutrient deficiencies, crop yield barriers and decline in soil organic matter. Agricultural scientists were looking for alternative strategy to tideover the bundle constraints with a single stop solution. Nanotechnology deals with atom-by-atom manipulations to evolve processes and products precised to overcome the farming challenges altogether that hardly possible to achieve by the traditional systems. Nanotechnology applications in agriculture include diagnostic devices for early detection of plant diseases (Chen and Hu, 2013), nano-agricultural inputs such as nano-fertilizer (Subramanian et al., 2015; yuvaraj and Subramanian., 2018; Nongbet et al., 2022; Verma et al., 2022; Mohanraj et al., 2024), nano-herbicides (Abigail and Chidhambaram, 2017; Forini et al., 2022) and nano-insecticides (Wang et al., 2022), nano-seed science, plant health management (Subramanian et al., 2016), nano-food systems (Anusuya et al., 2016; Jincy et al., 2017; Jan et al., 2023) besides environmental remediation (Rajkishore et al., 2023).
Even though the nanotechnology is being exploited in wide array of disciplines such as energy, environment, electronics, health sciences and few areas in agricultural sciences, the literature on the application of nanotechnology in plant breeding and genetics is scanty. Nanotechnology is a key component in the creation of genetically enhanced crops (Servin et al., 2015) with an increase crop yield or disease resistance (Kerry et al., 2017). Using genetic engineering or plant breeding, nano-enabled approach aids in the development of resilient and better plant genotypes (Patel et al., 2014). Plant breeding and genetic modification to create better crops frequently utilise nanotech-derived devices (nano sensors and nanoparticles) (Kumar and arora, 2020). Nanobiotechnology is to better understand the biology of various crops and the breeders may be able to increase agricultural yields or nutritional value (Sah et al., 2014). Atomically altered seeds, plant cells with silica beaks, hormone and antibiotic delivery in plants, particle farming, and iron seeding are a few examples. (Prasanna et al., 2018; Jha et al., 2013). Particle farming is the process of cultivating plants in predetermined soils to produce nanoparticles for industrial purposes. Plant production and growth are negatively impacted by abiotic stress. Salinity and drought are the two abiotic stressors that affect plants the most widely (Lavania et al., 2015; Zhao et al., 2017). Nano-enabled crop improvement can be achieved through four important aspects such as (1) genome editing, (2) genetic engineering, (3) abiotic and biotic stress management and (4) plant performance.

Introduction
In the ever-evolving landscape of agriculture, the intersection of science and technology continually reshapes the way we approach crop improvement. Among the most revolutionary advancements in recent years is the advent of genome editing technologies. These powerful tools offer unprecedented precision and efficiency in modifying the genetic makeup of plants, holding immense promise for revolutionizing the field of plant breeding. Genome editing plays a crucial role in plant breeding by enabling plant breeders to make precise and targeted changes to the DNA of crops, offering significant advantages over conventional breeding methods. Besides, crop improvement, these new breeding tools shorten the time needed to introduce desirable traits into crops, from decades to just a few years. They have revolutionized plant breeding by providing breeders with the ability to efficiently create crops that are more resilient, better adapted, and can produce higher yields with fewer resources, ultimately contributing to sustainable food production and addressing the challenges posed by climate change and population growth.
This comprehensive review aims to explore the transformative potential of genome editing technologies in genetic improvement of crop plants. The review will commence by elucidating the underlying mechanisms of genome editing technologies, offering insights into the molecular machinery that drives precise DNA modifications mediated by ZFNs, TALENs, CRISPR/Cas, base editing, prime editing and other new variants of CRISPR/Cas systems, highlighting their respective strengths and limitations. From enhancing crop productivity and quality to conferring resistance against biotic and abiotic stresses, these technologies offer a versatile toolkit for addressing pressing agricultural challenges. Case studies and examples from recent research will illuminate the successes and potential pitfalls of employing genome editing in crop improvement efforts. Besides, the regulatory and ethical considerations surrounding the deployment of genome editing in agriculture will be addressed. In conclusion, this comprehensive review seeks to provide a holistic perspective on harnessing genome editing technologies in plant breeding. By elucidating the scientific principles, applications, regulatory challenges, and ethical considerations, we hope to facilitate informed discourse and decision-making surrounding the integration of these transformative tools into agricultural practices. As we stand at the precipice of a new era in crop improvement, embracing the potential of genome editing holds the promise of unlocking sustainable solutions to global food security challenges.

Introduction
Chromosome engineering has emerged as a revolutionary approach, offering immense potential for genetic improvement by manipulating the structure and composition of chromosomes. Using genome engineering technologies, it is possible to introduce desirable traits into plants, such as disease resistance, increased yield, and enhanced nutritional content. To sustain the current standard of living, agriculture must yield significant increase in production (Gerland et al. 2014). Novel cutting-edge techniques developed for chromosome engineering hold great promise for addressing the challenges faced by modern agriculture, including climate change and food security. Engineering ability to precisely modify the genetic makeup of plants, chromosome engineering opens new avenues for creating novel cultivars with improved characteristics. While classical breeding has been successful in developing improved cultivars, it has its limitations. The process is time-consuming and often relies on probability to bring desired genetic changes. Since genes are organized into chromosomes, one important step to solve this issue is the development of novel genetic tools for chromosome reorganization and manipulation. When (Sears 1956) used X-ray irradiation to introduce foreign chromosome segments into the wheat chromosomes to transfer new traits, it was the beginning of plant chromosome engineering. Since then, plant chromosome engineering has evolved.
Applying methods such as chemicals and X-rays, induced mutagenesis was essential to the Green Revolution. Induction of polyploidy yielded more vigor and benefits like larger and higher-quality fruits (Osborn et al. 2003). Insect resistant and herbicide resistant transgenic crops successfully contributed to enhanced food production with less input into the farms. Genome editing enables precise modifications to increase disease resistance and stress tolerance (Ma et al. 2015). Considering practical features of chromosome engineering, this article discusses the use of induced mutagenesis, polyploidy induction, transgenesis, and genome editing, as the practical tools. The purpose of this chapter is to provide an in-depth analysis of chromosome engineering, exploring its scope, historical milestones, techniques, and its contributions to genetic diversity improvement and crop improvement. It also highlights the importance of efficient delivery techniques to overcome constraints such as off-target effects and concerns about genetically modified organisms (GMOs).

Introduction
The early human beings undertook extensive exploration of wild species in different plant species before selection followed by domestication for food and other purposes. The identification and selection of innumerable wild plant species and their domestication formed an integral part of early agriculture. Thus the organized cultivation of plant species is the result of selection in and among numerous wild species followed by domestication. It started around 9000-11000 years ago and has given birth to agriculture. The evolution of numerous human civilisations/settlements across the globe is largely shaped by agriculture. Selection continued during domestication which has led to the improvement in the wild plant species and transformed wild plant species into cultivated crop plants. Subsequently, the crop plants were differentiated into distinct landraces depending on morphological features, adaptation, economic use, etc. across different continents on Earth. Selection by humans and/or by nature is a continuous and dynamic process and will continue in future as well. However, a deep understanding of genetic diversity in crop species is essential for successful selection by human beings (Naqvi et al., 2022). The objective of the selection and domestication were dynamic and varied depending on cultural, social, economic and climatic factors. In general, the major objective of selection was to increase yield and bring desirable changes in valuable traits of economic importance. The significance of selection has increased over the years and will continue to increase in future as well. The procedure and methods followed while selecting traits or genotypes of economic importance have led to the birth of a new discipline, plant breeding. In the early years, plant breeding was more of an art than a science. As science progressed, the increased understanding of the genetics of traits complemented plant breeding with scientific back-up. Subsequently, genetics has become the basis of selection, the essence of plant breeding.
Globally, the demand for food, fodder, fuel, energy etc. is increasing continuously and increased crop production is considered as the most viable and sustainable answer or solution. The major driving force for increased demand is the growing population. However, the challenges to increasing crop production are also many namely, the decreasing arable land for agriculture, changing climate (increased extreme temperatures and altered rainfall patterns etc.), decreasing natural resources like water and energy etc. (Razzaq et al., 2021). Further, global warming also impacts the overall agricultural production across crops adversely. In this scenario, the role of plant breeding is vital to sustain higher crop production on a sustainable basis. The responsibility of plant breeders also increases in terms of the development of new, high-yielding, stress (biotic and abiotic) tolerant, high-quality and higher resource use efficient genotypes continually. Historically, conventional/traditional plant breeding has made significant progress in several crops in terms of increasing production, productivity, stress tolerance, nutritional value, etc. Conventional plant breeding relied fundamentally on extensive evaluation of available germplasm for a range of traits of economic importance and utilization of genetic diversity found in the landraces and closely related species (primary and secondary gene pools) (Prohens, 2011; Mangal et al., 2024). The success in conventional plant breeding largely depends on the expertise of breeders while undertaking phenotypic selection. It mainly involved selection within broad genetic base germplasm like landraces, open-pollinated varieties, exploration of wild and related species, and their evaluation for traits of interest, followed by hybridization and cyclical selection (Hallauer and Carena, 2009). The

Introduction
A breeding value is essentially the additive effect of a trait of interest that can be passed on stably to offspring. In artificial selection, the breeding values of the genotypes are determined. Hence, the key question is how to quantify the breeding value of a genotype for a phenotypic trait of interest that is part of a breeding program. As part of the process of breeding livestock, the estimated breeding value (EBV) is predicted based on a model that relates the phenotype over a population of genotypes with their pedigree information by using the best linear unbiased prediction (BLUP). Nevertheless, this method is not feasible for populations with no pedigree information or a complex population structure, which is typically the case in plant breeding when there are no pedigree records. With genomic selection (GS), this problem is addressed by determining the genomic estimated breeding value (GEBV), which addresses the problem by using genome-wide markers and combining them with various machine learning approaches in order to estimate the breeding value (Meuwissen et al. 2001). It is for this reason that the GS models are developed in a training population that is both genotyped and phenotype. GS model that has been created can be used for predicting phenotypic traits in unseen genotypes as well as for genotype selection in another population, called the breeding population (testing population) that has genotyped data only. The GS procedure described here can be applied to predict phenotypic traits for inbred as well as hybrid populations. As a result of this procedure, GS cuts in half the time it would take for a breeding cycle to be completed in order to develop new cultivars. All GS approaches rely on a method that is statistical in nature as they use a mathematical relationship between genotypic and phenotypic data in order to predict genotypes values.
Genetic improvement of crops has been a cornerstone of agricultural development, making a significant contribution to the food security and economic growth of the global economy. Plant breeding poses a great deal of challenge when it comes to selecting the best individuals. The use of visual selection has not yielded the desired genetic gain compared to the results derived from the estimation of breeding values.

Introduction
Plant being sessile are subjected to a myriad of biotic and abiotic stresses that impede growth and resulting significant losses in crop productivity globally (Bhat et al., 2019; Ganie & Reddy, 2021). In this context, there is an immediate need to develop high yielding climate-resilient crop varieties for ensuring food security in the face of increasing population growth. Although conventional breeding has achieved notable success in the development of high-yielding crop varieties (Bhat et al., 2020), but this approach is slow to maintain pace with ever increasing population. In this regard, more recent approach of genomics-assisted breeding (GAB) has emerged as a pivotal approach to develop the high-yielding climate resilient crop varieties (Bhat et al. 2021). Although, low-throughput sequencebased markers like simple sequence repeats (SSRs) have been extensively utilized in molecular breeding programs, but they have the limitations of reduced genomic coverage and high cost (Varshney et al., 2014; Zargar et al., 2015). In this context, the emergence of second-generation DNA marker systems has provided higher genomic coverage and low cost in marker-assisted breeding. For example, recent advancements in next-generation sequencing (NGS) and genotyping platforms have substantially enhanced marker density and genomic coverage while reducing costs (Przewieslik-Allen et al., 2019); thus rendering them commercially available for both model and non-model crop species (Huang & Han, 2014; Rasheed et al., 2017). These high-throughput genotyping platforms provides millions of DNA polymorphisms (Bassi et al., 2016; Ganal et al., 2012), thereby enhancing gene mapping resolution and prediction accuracy in genomic selection (GS) (Robertsen et al., 2019; Yu et al., 2019). Most of the agriculturally important crop traits, such as yield, quality, and stress tolerance, possess complex inheritance i.e., governed by multiple genes with minor effect on trait of interest as well as are highly influenced by genotype-by-environment (G × E) interactions (Voss-Fels & Snowdon, 2016). The conventional linkage mapping approach has elucidated the genetic basis of agriculturally important complex traits but this approach involves the use of bi-parental mapping populations which are constrained by the limited genetic diversity, low resolution, and restricted recombination events (Brachi et al., 2011; Collard et al., 2005). Consequently, the genome-wide association study (GWAS) has emerged as a powerful approach for dissecting the genetic basis of complex quantitative traits in crop plants, resulting higher resolution and allelic diversity (Varshney et al., 2020; Zhu et al., 2008). Moreover, owing to the availability of cost-effective and high-density genotyping platforms, has allowed the routine use of GS in the crop breeding which is more recent approach of GAB (Crossa et al., 2017). In recent years, the advent of next-generation sequencing (NGS)-based genotyping techniques has significantly allowed the genotyping of extensive germplasm collections, enabling comprehensive GWAS and GS analyses (Annicchiarico et al., 2017; Zargar et al., 2015). Nonetheless, the predominant limitations impeding the utilization of SNPs in the GWAS and GS approaches encompass their inherently biallelic nature, the occurrence of rare alleles, and the prevalence of linkage drag (Voss-Fels & Snowdon, 2016; Wray et al., 2013). In

Introduction
Maize (Zea mays L.) is the second most widely crop grown globally after wheat, with 205 million hectares under cultivation. The area cultivated under maize is steadily increasing and expected to overtake that of wheat by 2030 (Erenstein et al., 2022). With production exceeding 1.2 billion metric tons, maize surpasses the production of other highly cultivated cereals like wheat and rice mainly due to its higher yields (Erenstein et al., 2022). Maize is cultivated in the Americas, Africa, and Asia, for multiple end-uses (Nuss and Tanumihardjo, 2010). It is a staple food in several countries across Africa and Latin America, and in a few countries in Asia, with an overall contribution of 15-20% of daily calorific needs (Shiferaw et al., 2011).
The global maize yield tripled from the 1960s with the average yield rising from 2 tons/ha to the current 5.8 tons/ha, mainly due to the adoption of highyielding hybrid cultivars and complementary input use (Erenstein et al., 2022). Maize is naturally an outcrossing species and inbreeding is unnatural. When maize is subjected to inbreeding and the resulting inbred lines from genetically distant backgrounds are crossed, hybrid vigor or heterosis is realized (Springer and Stupar, 2007). Hence, the development of the homozygous inbred lines is a very important step in hybrid maize breeding.
In the well-evolved maize breeding programs, the germplasm is well characterized into different heterotic groups where the hybrids developed by crossing inbred lines from different heterotic groups exhibit high heterosis (Ertiro et al., 2017a; Sang et al., 2022). For the development of inbred lines, maize breeders develop F1 populations by crossing two inbred lines within the same heterotic group (Prigge et al., 2011; Sang et al., 2022). Inbred lines are developed from the F1 population by recurrent self-pollination for 6-8 generations; this can take up to 3-4 years or even more, depending on the availability of off-season nurseries for generation advancement. The resulting inbred lines are highly homozygous (~98-99%), but not 100% homozygous. The doubled haploid (DH) technology emerged as a viable alternative to the time-consuming and resourceintensive recurrent selfing method to produce 100% homozygous inbred lines in just two crop seasons (Prasanna et al., 2012; Chaikam et al., 2019a).
In addition to significantly reducing the time taken to develop homozygous lines, the use of DH lines in maize breeding offers several other benefits: a) As DH lines are completely homozygous at all loci, they are stable and do not show further inbreeding depression; b) DH lines are also best suited for evaluating distinctness, uniformity and stability (DUS) criteria, thereby better facilitating plant variety registration and intellectual property protection (Röber et al., 2005); c) The use of DH lines facilitates selections on completely homozygous lines which is more reliable and effective compared to selections on segregating families with different levels of heterozygosity (Chaikam et al., 2019a); d) Use of DH lines also simplifies breeding operations like planting, managing the nurseries, seed shipments, record keeping, etc. as selfing nurseries spread over several generations are replaced by just two generations for DH line development (Prasanna, 2012; Röber et al.,

Introduction
The process of culturing plant cells, tissues, organs and protoplast on artificial media under controlled and aseptic circumstances is known as ‘Plant Tissue Culture’. It is predicated on the idea of “Cellular totipotency”, which describes a cell’s capacity to develop into a whole plant in the right cultural environment. This characteristic of cells has broad applications in the manipulation of plant cells to enable fast plant multiplication and the in-vitro regeneration of whole plants following the genetic transformation. Around a century ago, the idea of tissue culture was first put forth, to grow entire plants in vitro from somatic cells (Haberlandt, 1902). The tissue culture system has advanced with the identification of different concentration, ratios of auxin and cytokinin, which are critical for the regeneration of adventitious roots and shoots (Skoog and Miller, 1957). Appropriate explant, or plant organ removed, including cotyledons, leaves, roots, shoot apices, nodal segments, hypocotyls, anthers, embryos, and seeds. The explants are thoroughly cleaned with sterile double-distilled water, surface sterilized with a disinfectant such as sodium hypochlorite or mercuric chloride and aseptically cultured in an artificial medium in test tubes/ flasks, jars, and Petri dishes. Several factors influence a plant’s capacity to regenerate, such as the presence of a plant growth regulator (Gerdakaneh et al., 2020), the explant type (Dhar and Joshi, 2005) and the basic medium’s composition (Sundararajan et al., 2017).
The most widely used media include major elements, carbohydrates, growth regulators (auxins, cytokinins etc.), microelements, vitamins, amino acids and several media compositions have been created specifically for plant tissue culture (Atkinson et al. 2012). While 2,4-dichloro phenoxy acetic acid (2,4-D) at concentrations of 0.5-4.0 mg/L typically induces callus, or a homogeneous mass of undifferentiated cells, auxins at concentrations ranging from 0.1 to 5.0 mg/L, favour rooting by cell elongation. Similarly, cytokinin’s induce fast cell division and the growth of shoot buds/shoots. Agaragar, agarose, and GelriteTM are examples of chemically inert, powdered gelling agents added to the culture medium to solidify it before it is autoclaved. After the medium has been added to the culture containers, they are autoclaved. Explants in the culture vessels are injected under aseptic circumstances in a laminar air-flow cabinet equipped with high-efficiency particulate air (HEPA) filters (pore size 0.2–0.3 mm). Explants that are placed in the right growth medium under the right circumstances dedifferentiate, or mature cells that have increased DNA/ RNA and protein production return to their meristematic state. Regrowth in the agar-gelled medium results in an amorphous mass of cells known as ‘callus’. Suspension culture, a method of cultivating cells in a liquid medium, produces a suspension of individual cells. Every three to four weeks, the developing tissue must be sub-cultured onto a new medium because an increase in cells or calli causes the medium to run out. In the end, the organogenesis pathway is utilized to create ordered structures like roots, branches, flower buds, etc. from these cells and tissues. The synthesis, preservation, and application of

Introduction
Vegetables are an essential diet component for human beings and nutritional security because of their short season, high yielding potential, nutritional capacity financial viability and potential to create on-farm and off-farm agricultural employment. India ranks as the world’s second-largest producer of fruits and vegetables. In India, vegetables and fruits accounts for about 92% of the total horticultural production. Daily diet consisting of vegetables is primary sources of proteins, vitamins, minerals, dietary fibers, micronutrients, antioxidants and phytochemicals. Additionally, vegetables have wide range of phyto-chemicals such as anti-carcinogenic factors and anti-oxidants constituents (e.g. flavonoids, glucosinolates and isothyocynates) (Silva Dias, 2019). In India an area of 11.35 million hectares is employed for the production of vegetables which is around 204.84 million metric tonnes (APEDA, 2023). Novel genotypes adaptable to various horticultural systems must be developed due to rapid climate change, customers demand and the resurgence and emergence of plant’s pest and diseases (Cardi et al., 2017). Plant tissue culture is emerging as a technology which has significant impact on agriculture sector by producing plants to meet out the growing global demand. It provides the huge potential areas currently offering a glimpse into the future. Apart from this, it has advanced significantly in the area of vegetable sector. Vegetable crops can be improved through efficient in vitro plant regeneration system of biotechnological approach consisting of meristem culture, haploid production and somatic hybridization (Kumari et al., 2020). Genetic engineering is a novel approach to produce improved crops varieties with greater yield potential and pest resistant. Genetic transformation plays an important role in genetic engineering process in order to improve genetics of crop plants. The world’s demand for nutritious and cheap food market have prompted the scientists to step up their efforts to genetically modify the economically significant plants. Traditional breeding methods have several limitations such as more time consuming to develop a plant with desired traits and sexual incompatibility barrier and these limitations can be overcome by adopting effective strategies for regeneration and transformation of valuable plants. Genetic engineering has shown to be an excellent method for improving vegetable crops under different adverse conditions (Gerszberg, 2018). Plant tissue culture and molecular biology are the technical foundations of genetic transformation technology, which is used to produce enhanced crop varieties, disease-free plants (virus-free), genetic transformation, secondary metabolite production, and varieties resistant to various biotic stresses such as diseases-pests, and abiotic stresses like high temperature, drought, and salinity (Hussain et al., 2012).

Introduction
A plant seed consists of an embryo and reserve food material (endosperm/ cotyledon) which is surrounded by a protective seed coat. The seed ensures that the next generation of plants exists. The embryo is made up of one or two cotyledons attached to a central axis. The upper part of the axis contains a plumule at its tip. The plumule grows into the shoot system. The lower part of the axis consists of the hypocotyl and a radicle. The radicle grows into the root system. The endosperm is the food reserve that the embryo uses during the early stages of germination. Before the embryo is able to produce its own food through photosynthesis, the endosperm provides vital nutrients to the embryo. Seed stands as an essential and fundamental agricultural input. It can be characterized as a propagative entity that facilitates the continuation of species from one generation to the next. Alternatively, it can be described as a mature fertilized ovule. Seeds play multifaceted roles for their parent plants, encompassing embryo nourishment, dispersion to novel locations, and entering a state of dormancy during adverse environmental circumstances. Seeds originate from various sources like self-pollination, cross-pollination, vegetative propagation, and mechanisms such as apomixis, resulting in diverse varieties or hybrids. Maintaining the genetic consistency of cross-pollinated seeds presents notable challenges. Certain fruit crops encounter obstacles in natural seed propagation due to factors like seed heterozygosity, diminished endosperm size, or minuscule seed dimensions. Additionally, some seedless fruits cannot be propagated conventionally through seeds. Seeds frequently become susceptible to seed-transmitted diseases, facilitating the transmission of diseases across different geographical areas. These constraints in seed-based propagation have spurred the exploration of alternative techniques for species proliferation. This exploration led to the emergence of the concept of synthetic seeds within the realm of plant tissue culture. Synthetic seeds are also known as synseeds or artificial seeds or somatic seeds, seed analog, or manufactured seed. The concept of synthetic seeds has been described in various manners by different researchers. Capuano et al., (1998) defined synthetic seeds as somatic embryos that are enclosed artificially, originating from shoot buds, cell aggregates, or any suitable plant tissue for sowing purposes. These synthetic seeds are capable of developing into plants under controlled in vitro or ex vitro conditions and can maintain this potential even after prolonged storage. Another definition of synthetic or artificial seeds comes from Gray and Purohit (1991) and Redenbaugh (1993), who refer to them as somatic embryos designed for use in the commercial propagation of plants.

Nutritional significance of millets
Millets, nutrient-dense grains rich in proteins, vitamins, minerals, and dietary fibre, are emerging as vital components of a balanced diet, particularly in regions where they serve as staple foods. Their high content of essential amino acids, iron, calcium, zinc, and B vitamins makes them crucial for addressing micronutrient deficiencies (Hassan, 2021). As gluten-free grains, millets are suitable for individuals with celiac disease or gluten intolerance, broadening their dietary appeal. Additionally, millets are rich in health-beneficial phenolic compounds, making them suitable for food and feed. Finger millet, with its diverse phenolic profile, has higher antioxidant activity than pearl millet. These phytochemicals positively impact human health by lowering cholesterol and phytates. Incorporating millets into human and livestock diets can improve health, reduce disease risks, and ease the pressure on maize (Hassan, 2021).
Essential nutrients in millets
Millets are particularly rich in carbohydrates, providing a sustained energy source essential for daily activities. Unlike refined grains, millets have a low glycaemic index, releasing glucose slowly into the bloodstream. This characteristic helps manage blood sugar levels and prevents spikes, making millets an excellent food choice for individuals with diabetes. Numerous studies have demonstrated that regular millet consumption can offer a variety of health benefits. The high fiber content in millets supports digestion, prevents constipation, and promotes a healthy gut microbiome (Jacob, 2024) Consuming millets can lower the risk of chronic diseases such as cardiovascular disease, type 2 diabetes, and certain cancers. The antioxidants present in millets protect against oxidative stress and inflammation, which are key contributors to many health conditions. Furthermore, millets high fibre content and low glycaemic index promote feelings of fullness, regulate blood sugar levels, and help maintain a healthy body weight. Millets are ancient small grains grown in arid and semi-arid regions of the world, serving as staple foods for many people in Asia and Africa. Abundant sources of minerals and vitamins, they are often referred to as Nutri cereals. Millets contain valuable phytochemicals that provide therapeutic properties for various disorders and diseases, giving them nutraceutical value. (Mishra, 2022)
A wide array of biochemical compounds is present in the plant parts and grains. In the oldest texts of medicine in India and China, millets are noted for their medicinal value. Expanding interest and emerging facts highlight their therapeutic uses, with ample evidence showing that millet consumption aids in correcting lifestyle and metabolic disorders. The therapeutic properties of millets can be viewed in two ways: supplementary nutrition through minerals and vitamins, and therapeutic value through phytochemicals and specialty compounds like flavonoids, phenolics, and anthocyanidins that have antioxidant potential (Chellappan 2024). Millets are gluten-free, have a low glycaemic index, and their phytochemicals help correct lifestyle disorders and prevent ailments such as carcinogenesis. Supplementary benefits include the treatment of anaemia and

Introduction
World food security has become largely dependent only on a handful of crops like; wheat, rice, and corn which are the major cereals that support more than 50% of the global calorie demand. While these grains are an essential part of various diets, however they are devoid of essential micronutrients. As a result, it is estimated that micronutrient deficiency affects an estimated 2 billion people worldwide raising health concerns over our high dependence on cereal crops. As agriculture sector is considered as backbone of nation and therefore utilizing a handful of crops have placed the global food security at risk. In this context, Food and Agriculture Organization (FAO) has identified many plants as under-utilized, which can significantly contribute for improving nutrition and health, enhance food basket and livelihoods, future food security and sustainable development (FAOSTAT, 2023). These underutilized crops offer an immense potential in the functional food sector to combat hidden hunger crisis and offer the options of income generation.
Cereals such as rice, maize and wheat are monocots and belong to family Poaceae, however buckwheat, chia, quinoa and amaranthus although resembles with cereals are dicots and are categorized as Pseudocereals. These crops have been placed under the category of important crops by UNESCO due to dwindling cultivation and exploitation in the wild besides, these pseudocereals has gained a worldwide importance in the nutraceutical industry due to the rich nutritional profile compared to cereals and are considered as crops of the 21st century (Pirzadah et al., 2020). These are enriched with various active principals such as; polyphenols, flavonoids, amino acids, dietary fibre, lignans, vitamins, minerals, antioxidants, unsaturated fatty acids and other essential components like fagopyritols. The protein quality and quantity in pseudocereals is far better compared to cereals and this property qualifies their entry into the functional food industry (Rodriguez et al., 2020). Pseudocereals are rich in amino acids such as; arginine, tryptophan, lysine and histidine that proved essential for infant and child health thus, projected pseudocereals as an appropriate food supplement for child nutrition. The food production agro-systems must be adapted to climate change to ensure food security and stability. However, pseudocereals are climate resilient crops and can be grown even on marginal lands that are not fit for cereals thus, are considered as future crops to tackle mal-nutrition and future food crises. To explore these neglected or lost crops, there is an increasing interest in research and development that needs heightened direction and focus (Mabhaudhi et al., 2019). In this context, there is a need to adopt recent biotechnological interventions for the crop improvement and domestication of pseudocereal crops. This chapter focuses on nutritional profile of emerging pseudocereals viz., Buckwheat, Chia, Quinoa and Grain amaranth, phylogeny, genetic resources, breeding behavior and advanced breeding methods and their integration into the global food system

Introduction
In recent years, there has been a growing interest in alternative nutritious food sources (McClements, 2020) and such group of foods that has gained significant attention is millets. Millets are a diverse group of small-seeded grasses that have been cultivated and consumed for thousands of years. They are rich in essential nutrients such as proteins, fibers, vitamins, and minerals, making them an important addition to a balanced diet. Millets are not only rich in essential nutrients but also have several health benefits. They are known to have nutraceutical properties, low glycemic index, making them suitable for individuals with diabetes. Additionally, millets are a good source of antioxidants, which can help in reducing the risk of chronic diseases such as heart disease and cancer. The diverse range of millet varieties also provides flexibility in incorporating them into various dishes, making them suitable for different culinary preferences and dietary requirements. Therefore, the usage of millets can play a crucial role in promoting sustainable and healthy eating habits.
Malnutrition continues to be a pressing issue worldwide, particularly in developing countries (Ashok et al., 2020). The lack of access to nutritious food is one of the main causes of malnutrition, leading to various health problems such as obesity, diabetes, cardiovascular diseases, cancer, and celiac disease (Birania et al., 2020). To address this issue, millets have emerged as a promising solution. Despite being nutritionally superior to other cereals, millets have traditionally been limited to consumption by the poor and those with conventional dietary practices. However, there is a growing recognition of the potential of millets in combating malnutrition and improving public health. Millets, such as finger millet, pearl millet, and sorghum, are often referred to as “superfoods” due to their high nutritional content (Singh et al., 2020). These grains are rich in protein, carbohydrates, fats, vitamins, minerals, and dietary fiber, making them an ideal source of essential nutrients (Ashok et al., 2020). Additionally, millets are easily available and costeffective, making them a viable option for addressing malnutrition on a larger scale (Birania et al., 2020). Furthermore, millets are resilient crops that can withstand environmental changes and water shortages, making them an ideal choice for sustainable agriculture. In this chapter, we delve deeper into specific aspects of millet nutrition, examining their micronutrient profiles, health benefits, culinary versatility, and potential applications in combating malnutrition and promoting sustainable agriculture. By understanding the nutritional richness of millets, we can uncover innovative solutions for improving human health and fostering agricultural resilience.

Organic Agriculture
Organic and biodynamic farming use natural methods to grow crops, avoiding inorganic fertilizers, pesticides, and other chemicals throughout the growth stages. This approach relies on natural biological systems, preserving their relationships and self-regulation, unlike conventional farming, which heavily depends on synthetic inputs. As a result, plant and animal varieties bred for intensive agriculture often do not align with organic principles. To unlock the full potential of organic farming, genetics of seeds should also be organic, ideally bred and grown exclusively in organic conditions to best suit these systems.
Organic plant breeding
Improving the genetic diversity of the crops and their adaptation to the future organic growing conditions and climate change need to be done through organic plant breeding. The choice of varieties for organic farming that are mostly derived from conventional bred varieties, sustainable use of natural input resources and at the dynamic equilibrium of the entire agro ecosystem are the main features. The organic breeding programs should match with the reproduction system of the respective crop. Seeds and vegetatively propagated crops are important resources for organic breeding. The Organic agriculture system relies on natural inputs and pesticide free and non GMO crops, vegetable and fruits aiming providing healthy food. In an overall manner, organic agriculture is the expression of underlying ecology, fairness and health. Organic agriculture is presently practiced in organically converted and managed land area equal to 2% of the cultivated area in India.
International Federations of Organic Agriculture Movement (IFOAM) (2015 and 2017): Organic agriculture is defined as a production system that sustains the soil health, ecosystem and people. It relies on ecological processes, bio diversity, and local conditions. Organic farming is part of organic agriculture and it is basically based on the underlying principles of health, fairness, ecology and care. The well-known characteristic of organic farming is, it produces food without the use of any synthetic fertilizer or pesticides and also without the use of GMO. Trends and perspectives in organic plant breeding are recognized as a highly collaborative and possess strong interrelationships.

Introduction
The increase in the world population coupled with climatic fluctuations such as drought, floods, and high temperatures poses a serious threat to food security (Ray et al., 2013). Many researchers have quoted the importance of enhancing the genetic gain of primary crops at a faster rate to meet global food demands (Lin et al., 2016). It remains a challenging task for plant breeders to evolve resilient varieties in a shorter period by employing conventional approaches. The slow progress in crop improvement is mainly attributed to long breeding cycles/generations (Samantara et al., 2022). To overcome the drawbacks involved in traditional methods and to safeguard food security, speed-breeding methods are now being adopted at large or small units to achieve rapid genetic gains in many crop species. The speed breeding techniques include the use of controlled environments with manipulation provisions for light duration, intensity and temperature. This approach is more advantageous for helping plant breeders hasten crop development in several major photosensitive crops (Singh and Janeja, 2021).
Breeding a new crop variety via a conventional approach requires the selection of complementary parental genotypes with desired traits, followed by crosses and a series of selections and advancements of superior progenies to release candidate cultivars that meet market demands (Shimelis and Laing, 2012). Notable breeding goals in crop cultivar development programs include increased yield potential and nutritional quality and enhanced tolerance to biotic and abiotic stresses (Breseghello and Coelho, 2013). In any crop improvement program, the following breeding procedures can be distinguished in the order presented: (a) selection of desirable parents with complementary traits to be combined; (b) crosses involving the selected parents and the development of progenies; (c) selection and genetic advancement of the best progenies based on target traits; (d) selection of the best progenies for screening in multiple target production environments to identify the best performing and stable candidate cultivars; and (e) cultivar registration and seed multiplication and distribution to growers (Shimelis and Laing, 2012). These conventional breeding procedures are used in most crop cultivar improvement

Introduction
Current state of global warming and climate change affecting crops through altered pest and disease incidence patterns, changes in temperature and CO2 levels which adversely affected the crop production (Habib-ur-Rahman et al. 2022). This threat is particularly pronounced in food-insecure regions, especially in Asian countries. Climate change not only jeopardizes crop and livestock health but also impacts soil and water resources and livelihood of rural communities. Furthermore, it contributes to food insecurity by increasing prices and reducing overall food production. The complexity of these effects highlights the need for modern agricultural techniques to mitigate risks and ensure global food security (Habib-ur-Rahman et al. 2018).
Crop improvement, an integral facet of agricultural development, remains a cornerstone in addressing the burgeoning global food demands. Conventional plant breeding methods have played a pivotal role in developing improved crop varieties that exhibit enhanced quality, higher yields and resilience to biotic and abiotic stresses. However, plant breeding methods involving continuous selection and intermating among closely related individuals can result in a reduction of genetic diversity within a cultivated crop species. The narrow genetic base makes crops more vulnerable to emerging threats, such as new pests or diseases and limits their ability to cope with changing climatic conditions. In India, the Green Revolution along with substantial plant breeding activities, led to a significant increase in crop yields, particularly in staple crops like wheat, rice and maize. However, one of the major consequences of green revolution is the development of narrow genetic base in cultivated crop species (Begna 2021).
Moreover, the reliance on a narrow genetic base, a consequence of crossing only two parents, curtails the exploration of broader genetic diversity. This limitation restricts the potential for effectively combining and expressing desired traits in the resulting crop varieties. Most of conventional plant breeding techniques were primarily focused on monogenic traits, while many agronomically important traits are quantitative in nature, controlled by polygenes, and influenced by the environment. This poses challenges for breeders relying only on phenotypic selection. Notably, traits influenced by multiple genes, such as resistance to diseases or tolerance to environmental stresses, are particularly challenging to manipulate using traditional breeding methods.
Quantitative trait loci (QTLs) are genomic regions that influence polygenic traits, first described by Geldermann (1975). Identifying QTLs associated with improving yield and quality traits is pivotal for catalysing a new Green Revolution (Arrones et al. 2020; Pradhan et al. 2015). Marker-assisted selection (MAS), introgression breeding and QTL pyramiding offer efficient avenues for developing improved cultivars. However, identifying QTLs associated with quantitative traits remains a challenge for plant breeders (Arrones et al. 2020). The basic requirement for the detection of QTLs involves appropriate mapping population, marker systems, phenotyping methods and suitable experimental designs (Arrones et al. 2020; Collard et al. 2005)

Introduction
The genetic diversity of crops has been subjected to considerable humandriven selection throughout time, in particular, is often limited by conventional plant breeding techniques. Under these conditions, crops with low yields and a high risk of disease and pest infestation may be produced. Thus, there’s a need to introduce a technique where solutions to all the problems can be addressed. CIS breeding opens us a wider range of opportunities for improving crops by enabling the deliberate incorporation of natural genetic differences from closely related plants. The word “CIS” in CIS breeding means “on the same side/same kingdom”. CIS breeding is an advanced method for genetic improvement in which genes from closely related plants are inserted into the desired crop. This method creates crop varieties that are greatly improved in terms of growth capacity, yield potential and pest and disease resistance. CIS breeding is a pioneering technology designed to integrate novel traits into established crop varieties without the introduction of foreign genetic material. Utilizing the similar gene combinations and the plant’s intrinsic genetic systems, it is a natural form of genetic improvement that improves traits including yield, drought resistance, disease resistance and nutritional qualities (Anjanppa and Gruissem, 2021). Comparing to conventional breeding where gene transfer can occur through random cross- breeding or mutagenesis and risk of unintended effects are high, in CIS breeding, one or few genes are transferred from related species as well as risk of unintended effects are also low. Some countries, regulate it as conventional breeding and other regulate it as GMO breeding.

Introduction
Definition of heterosis
The word “heterosis” was coined by G.H. Shull in 1914 as a convenient abbreviation for awkward phrases like ‘stimulation of heterozygosis’. When two genetically diverse parents are crossed, the resulting F1 or hybrid progeny has superior performance over both of its parents which is known as heterosis. The F1 or hybrid has superiority in vigour, adaptability, stress tolerance, growth rate, population fitness, biological and economic yield. Luxuriance on the other hand is a more general term often confused with heterosis, used to describe plant’s overall healthy and abundant growth, regardless of its genetic background (Allard, 1960). Charles Darwin introduced the concept of hybrid vigour in 1876, a term closely related to heterosis. The exceptional hybrid vigour in the F1 generation stems from the theory of dominance and codominance, offering numerous advantageous characteristics, particularly economically significant ones.
Heterosis is confined to F1 or hybrid generation only. The F2 and subsequent generations do not show heterosis due to factors like recombination and segregation, which lead to shuffling of the genes and produce variety of new combinations, hence they are neither homogenous like F1 nor have hybrid vigour. One of the main characteristics of heterosis is that it is highly variable from crop to crop as well as from cross to cross. So, some of the crosses will exhibit higher heterosis than the other crosses. This is because heterosis is controlled by many factors which include the genetic diversity of parents, combining ability of parental lines, genetic background, additive, dominance, epistasis nature of gene imparting heterosis which will be dealt in detail in next sections of the book.
Heterosis, manifested in positive (yield, quality, disease resistance) or negative (plant height, maturity duration) aspects, is more prevalent in crosspollinated species than in self-pollinated ones. It can be fully exploited in hybrids or partially exploited in synthetic and composite varieties. The performance of hybrids relative to parents exhibits distinct features, as illustrated in Figure 1, including better-parent heterosis with optimal trait values surpassing either parent. Mid-parent heterosis exceeds the parental average but holds limited agronomic relevance. Phenotypes are broadly categorized as additive (similar to parental average) or non-additive, further subdivided into partially dominant, dominant, and over/under dominant. Factors influencing heterosis include genetic diversity, combining ability, genetic background, and the interplay of additive, dominance, and epistatic genetic factors, explored in detail in subsequent sections.

Introduction
Angiosperms produce attractive and intricately structured flowers, within which their reproductive process occurs. In flowering plants, as in other plant groups, a diploid spore-producing generation (sporophyte) alternates with a haploid gamete-producing generation (gametophyte). The flower contains specialized structures, such as the stamen (or androecium) and the pistil (or gynoecium), where the respective male and female gametophytes are formed. The pollen grain serves as the male gametophyte, while the embryo sac serves as the female gametophyte. These gametophytes are responsible for producing sperm and egg cells, respectively facilitating their union during fertilization. The pollen grain contains the male gametophyte in angiosperms or gymnosperms. Conversely, spores function as a resting and dispersal phase for cryptogams (Moore et al., 1991). The study of pollen grains (produced by seed plants, angiosperms and gymnosperms) and spores (produced by pteridophytes, bryophytes, algae and fungi) is known as palynology. This discipline examines the structure and formation of pollen grains and spores, their dispersal and their preservation under various environmental conditions. Palynology serves as a valuable research tool for understanding many aspects of plant and animal metabolism. Moreover, a deeper understanding of pollen can aid plant breeders in enhancing efforts to improve global food and fiber supplies. In the anthers of higher plants, neither the developing pollen nor the surrounding tissues exhibit autonomous growth and development. Instead, the developing anther functions as a system where the gametophytic and sporophytic generations of the plant communicate, coordinate and co-participate in development. This chapter aims to understand the various aspects of gene activity that occur during pollen development.

Introduction
Domestication is the process of adapting wild plant species for human cultivation and consumption and it has played a pivotal role in shaping modern agriculture. Since the dawn of civilization, humans have selectively bred plants to enhance desirable traits, such as increased yield, improved taste, and resistance to pests and environmental stresses. Through domestication, early agriculturalists inadvertently altered the genetic makeup of wild progenitors, favouring traits that aligned with their needs and preferences. This process involved selecting and propagating plants with desired characteristics over successive generations gradually transforming once-unruly wild species into more docile, productive and palatable varieties. The domestication of crop plants was a gradual and ongoing process, often spanning thousands of years. It required keen observation experimentation, and an inherent understanding of plant biology and genetics even before these concepts were formally understood. This patient and persistent effort by our ancestors paved the way for the development of diverse and nutritious food sources, enabling the establishment of sedentary communities and the rise of complex civilizations. While modern breeding techniques have advanced significantly, the fundamental principles of domestication remain a cornerstone of crop improvement efforts. By understanding the historical significance and underlying mechanisms of domestication, we can better appreciate the invaluable contributions of our ancestors and continue to build upon their legacy, ensuring a sustainable and diverse food supply for generations to come.
The current state of food systems is being challenged due to the heavy reliance on a limited number of resource-intensive staple crops. The emphasis on maximizing yield and the consequent reduction in diversity over the course of domestication history has led to the development of contemporary crops and agricultural practices that are environmentally unsustainable, susceptible to the impacts of climate change, lacking in essential nutrients, and contributing to social inequalities. For many years, researchers have advocated for diversification as a viable solution to tackle the issues surrounding global food security. In this context, we present a vision for a new phase of crop domestication, which aims to expand the range of crop diversity. This approach involves active engagement and benefits for three key components of domestication: a) the cultivated crops themselves, b) the surrounding ecosystems, and c) the human populations depending on these crops. We delve into the potential of current tools and technologies to initiate a revival of diversity within existing crops, enhance the value of underutilized crop varieties, and introduce new crops into cultivation. This multipronged strategy aims to reinforce genetic diversity, promote resilient agroecosystems, and establish a more varied and robust food system. The successful execution of this renewed phase of domestication hinges on a bold commitment from researchers, funders, and policymakers to invest in both fundamental and practical research efforts. As we navigate the challenges of the anthropocene epoch, characterized by significant human impact on the environment, the process of domestication offers a pathway to construct more diverse and adaptable food systems that can better serve humanity’s needs.

The world of agriculture is undergoing a significant transformation, driven by advances in technology, data analytics, and citizen science. Smart farming, also known as precision agriculture, has emerged as a key driver of this transformation, enabling farmers to optimize crop yields, reduce waste, and promote sustainable agricultural practices. However, the full potential of smart farming can only be realized by integrating it with citizen science and agrometeorological advisories. Citizen science, which involves the participation of citizens in scientific research, has the potential to revolutionize the way we approach agriculture. By engaging citizens in the collection and analysis of data on weather conditions, soil health, and crop health, we can create a more inclusive and effective agricultural system. Agrometeorological advisories, which provide weather-based agricultural advice to farmers, can also be enhanced through the integration of citizen science data (Fig.10.1).
This book chapter explores the potential of bridging the gap between citizen science, smart farming, and agrometeorological advisories. We examine the current state of these fields, highlighting the opportunities and challenges associated with their integration. We also discuss the role of technology, including mobile apps and online platforms, in facilitating this integration and enhancing the effectiveness

Citizen science has emerged as a powerful tool for monitoring and managing pests and diseases in agriculture. The concept of citizen science involves the active participation of citizens in scientific research, often through collaborative efforts with professional scientists. In the context of agriculture, citizen science offers a unique opportunity for farmers, gardeners, and other stakeholders to contribute to the monitoring and management of pests and diseases. Traditionally, pest and disease monitoring and management in agriculture have relied heavily on professional scientists and extension agents. While these experts play a critical role in providing guidance and support to farmers, they often face limitations in terms of resources, capacity, and geographical reach. Citizen science offers a way to bridge these gaps by leveraging the collective knowledge, expertise, and observational power of citizens (Fig.9.1).
In agriculture, citizen science can be applied in various ways to support pest and disease monitoring and management. For example, farmers and gardeners can be trained to recognize and report pests and diseases, providing valuable data on the distribution, prevalence, and impact of these organisms. This information can be used to inform management decisions, such as the application of pesticides or other control measures. Citizen science can also be used to support the development of integrated pest management (IPM) strategies, which aim to minimize the use of chemical pesticides and other harmful practices. By engaging citizens in the

Extreme weather events, such as hurricanes, droughts, and floods, have become increasingly frequent and intense in recent years, posing significant threats to agricultural productivity, food security, and rural livelihoods. The impacts of extreme weather events can be devastating, resulting in crop failures, livestock deaths, and damage to infrastructure and property. Traditional approaches to dealing with extreme weather events have often focused on top-down, expertdriven solutions, where external experts provide advice and guidance to farmers and rural communities on how to prepare for and respond to extreme weather events. However, these approaches have often been criticized for being ineffective, unsustainable, and neglecting the needs and perspectives of local communities.
In recent years, there has been a growing recognition of the importance of interactive community approaches for dealing with extreme weather events. These approaches involve working closely with local communities to identify their needs, priorities, and capacities for dealing with extreme weather events. They also involve empowering local communities to take ownership of their own disaster risk reduction and management efforts, through the provision of training, resources, and support.
A critical component of these interactive community approaches is the development and implementation of Early Warning Systems (EWS). EWS are designed to provide timely and accurate warnings to communities about impending extreme weather events, allowing them to take necessary precautions to minimize losses and protect their lives and livelihoods (Fig.8.1).

Crowdsourcing is a concept that involves obtaining information, ideas, or services from a large group of people, often through an online platform. This approach has become increasingly popular in recent years, particularly with the rise of social media, mobile devices, and other digital technologies. In the context of agriculture, crowdsourcing can be used to collect data on various aspects of farming, such as crop yields, soil conditions, and weather patterns. This data can be used to provide farmers with valuable insights and advice on best practices for farm management. One of the key benefits of crowdsourcing in agriculture is that it allows farmers to share knowledge and expertise with each other. By pooling their collective knowledge and experience, farmers can gain a better understanding of the challenges and opportunities facing their industry, and develop more effective strategies for overcoming them (Fig.7.1).
For example, a crowdsourcing platform might allow farmers to share data on crop yields and soil conditions. This data could then be used to create detailed maps of soil types and conditions, which could be used to provide farmers with advice on optimal planting and harvesting schedules.
Another example of crowdsourcing in agriculture is the use of mobile apps to collect data on weather patterns. By collecting data from a large number of

The agricultural sector is undergoing a significant transformation, driven by the increasing use of digital technologies, such as precision agriculture, drones, and satellite imaging. One of the key outcomes of this transformation is the generation of vast amounts of data, which can be used to inform decision-making, improve crop yields, and enhance the overall efficiency of agricultural operations. Farmers, researchers, and policymakers require effective tools and strategies for managing and analyzing these data to extract valuable insights and inform decision-making. This is where Farmers’ Data Base Management and Analysis comes into play (Fig.6.1).
6.1 Importance of Data Management and Analysis in Agriculture
6.1.1 Effective Data Management and Analysis are Critical in Agriculture, as they Enable
• Improved crop yields: Data analysis can help identify optimal planting dates, irrigation schedules, and fertilizer applications, leading to increased crop yields and better quality crops.

Farmers’ data collection can be a valuable input for the development of agrometeorological advisories because it provides a unique perspective on the local weather and climate conditions that affect their crops and farming practices. Farmers have a deep understanding of the local environment and are often able to observe subtle changes in weather patterns and soil conditions that may not be captured by traditional meteorological instruments. By collecting data on weather patterns, soil moisture, crop growth, and other factors, farmers can provide valuable insights into the complex relationships between weather, climate, and agriculture. This data can be used to improve the accuracy and relevance of agrometeorological advisories, which are critical for helping farmers make informed decisions about planting, irrigation, pest management, and other aspects of crop management. By incorporating farmers’ data into the development of these advisories, researchers and policymakers can create more effective and targeted recommendations that take into account the specific needs and conditions of local farming communities. Furthermore, the collection of farmers’ data can also help to identify gaps in existing meteorological data and provide insights into the impacts of climate change on local agriculture. This information can be used to inform the development of more effective climate adaptation strategies and to support the creation of more resilient and sustainable agricultural systems.
In addition, the involvement of farmers in data collection can also help to build trust and promote the adoption of agrometeorological advisories. By working closely with farmers and incorporating their knowledge and expertise into the development of these advisories, researchers and policymakers can create more effective and sustainable solutions that meet the needs of local farming communities. Overall, the collection of farmers’ data can provide a valuable input for the development of agrometeorological advisories, helping to create more effective, targeted, and sustainable solutions that support the needs of local farming.
5.1 Low Cost Instrumentation
The use of low-cost instrumentation in agriculture is essential for enabling farmers to collect accurate and reliable data on various parameters that affect crop growth, soil health, and farm management. In many developing countries, smallholder farmers lack access to expensive and sophisticated equipment, making it difficult for them to make informed decisions about their farming practices

The role of farmers in Citizen Science is a rapidly evolving field that holds tremendous promise for transforming the way we approach agricultural research and development. By leveraging the knowledge, expertise, and experiences of farmers, Citizen Science initiatives can help address some of the complex challenges facing agriculture today, from climate change and soil degradation to water scarcity and pest management.
One of the key benefits of involving farmers in Citizen Science is that it allows for the integration of local knowledge and expertise into the research process. Farmers have a deep understanding of their land, crops, and ecosystems, which can provide valuable insights into the complex relationships between agriculture, environment, and society. By tapping into this knowledge, researchers can develop more effective and sustainable solutions to agricultural challenges.
Another advantage of farmer-led Citizen Science is that it can help to increase the relevance and effectiveness of research. By involving farmers in the design and implementation of research projects, researchers can ensure that their work is addressing the real-world needs and concerns of agricultural communities. This can help to bridge the gap between research and practice, and ensure that scientific knowledge is translated into practical solutions that benefit farmers and their communities.
Furthermore, the involvement of farmers in Citizen Science can also help to promote greater equity and inclusivity in agricultural research. By providing opportunities for farmers to participate in research, Citizen Science initiatives can help to empower marginalized communities and promote social justice. This can be particularly important in developing countries, where smallholder farmers often lack access to resources, information, and decision-making power. In addition, farmer-led Citizen Science can also contribute to the development of more sustainable and environmentally-friendly agricultural practices. By working together with researchers and other stakeholders, farmers can help to identify and promote practices that reduce environmental degradation, conserve natural resources, and promote ecosystem services.
Overall, the role of farmers in Citizen Science has the potential to transform the way we approach agricultural research and development. By leveraging the knowledge, expertise, and experiences of farmers, we can develop more effective, sustainable, and equitable solutions to the complex challenges facing agriculture today.

The scientific community has long relied on the expertise of trained researchers and professionals to advance our understanding of the world. However, with the increasing complexity of global challenges, such as climate change, biodiversity loss, environmental degradation, and public health concerns, it has become clear that a new approach is needed. The traditional model of scientific research, where experts work in isolation to collect and analyze data, is no longer sufficient to address the scale and urgency of these challenges. Citizen Science, which involves the active participation of the public in scientific research, has emerged as a powerful tool for addressing these challenges. By leveraging the collective efforts of citizens, researchers can tap into a vast pool of knowledge, skills, and perspectives, ultimately leading to more inclusive, equitable, and effective scientific inquiry. From monitoring water quality and tracking climate patterns to identifying species and analyzing satellite imagery, citizens are making meaningful contributions to scientific research (Fig. 3.1).
The benefits of Citizen Science are numerous. It provides opportunities for citizens to engage with scientific research, promoting a deeper understanding of the scientific process and its applications. It also enables researchers to collect data on a larger scale and in more diverse locations, leading to more comprehensive and accurate findings. Furthermore, Citizen Science has the potential to increase public trust in science, promote community engagement, and foster a sense of ownership and responsibility among citizens for environmental and societal issues.

Agriculture is the backbone of human civilization, providing food, fiber, and livelihoods for billions of people around the world. Crop yields, which are a critical component of agricultural productivity, are influenced by a complex array of factors, including genetics, soil quality, water availability, and management practices. However, among these factors, weather and climate stand out as two of the most significant drivers of crop yields.
Weather and climate are intimately linked, with weather referring to short-term atmospheric conditions, such as temperature, precipitation, and wind, and climate describing the long-term average atmospheric conditions in a particular region. Together, they form a dynamic duo that shapes the fate of crops, influencing their growth, development, and productivity.
The impact of weather and climate on crop yields is multifaceted. Weather events, such as droughts, floods, and heat waves, can have devastating effects on crops, leading to reduced yields, lower quality produce, and even complete crop failures. Climate, on the other hand, influences the overall growing conditions, determining the suitability of a region for specific crops and the timing of planting, growth, and harvest.
Understanding the complex interplay between weather, climate, and crop yields is crucial for ensuring food security, improving agricultural productivity, and promoting sustainable farming practices. This chapter aims to explore the intricate relationships between weather, climate, and crop yields, examining the ways in which these factors interact and influence each other. By delving into the latest research and findings, this chapter will provide insights into the following key topics:
The impact of weather events, such as extreme temperatures, precipitation, and wind, on crop yields
• The influence of climate on crop growth, development, and productivity
• The role of climate change in altering weather patterns and crop yields
• Strategies for mitigating the negative impacts of weather and climate on crop yields, such as climate-smart agriculture and weather-based crop insurance

1.1 Weather Forecasting
Farmers have always been at the mercy of the weather, and accurate forecasting has become an essential tool for their decision-making process. Weather forecasts play a critical role in supporting farmers’ decision-making processes, from crop planning and management to harvest planning and economic decision-making. Crop planning and management is one of the key areas where weather forecasts are crucial. Farmers use weather forecasts to determine the best time to plant seeds, taking into account temperature, moisture, and sunlight requirements. This enables them to choose crops that are suitable for the predicted weather conditions. Additionally, forecasts help farmers optimize irrigation, reducing water waste and ensuring crops receive adequate moisture (Fig.1.1).
Weather forecasts also help farmers mitigate weather-related risks. Extreme weather events like floods, droughts, heat waves, and storms can have devastating effects on crops. Accurate forecasts enable farmers to prepare for and respond to these events, reducing crop damage and loss. For instance, forecasts help farmers take measures to protect crops from frost and freeze damage, which can be catastrophic for certain crops.

1. Introduction
Pharmacognosy, formerly known as materia medica, is the study of unrefined medications derived from minerals, plants, and animals. Although C. A. Seydler coined the phrase in 1815, J. A. Schmidt used it in 1811 to refer to the study of medicinal plants and their characteristics. The word refers to the study or knowledge of medicines and is derived from the Latin terms gignoso, which means “to acquire knowledge of,” and pharmakon, which means “a drug.” Plants, animals, or their parts that have just been dried, sliced longitudinally or transversely, or infrequently peeled after collecting are considered crude pharmaceuticals. The majority of the basic drugs used in medicine are derived from plants, with only a minor portion coming from the animal and mineral kingdoms. Drugs made from plants are full plants, however cinchona bark, ginger rhizome, nux vomica seeds, and senna leaves and pods are plant components. Some medications, such as orange and lemon peels and colchicum corm, are used fresh, but the majority are dried after harvesting. Crude pharmaceuticals can also be obtained by straightforward physical processes like drying or water extraction. Aloe is the dried juice of Aloe species’ leaves, opium is the dried latex from poppy capsules, and black catechu is the dried aqueous extract from Acacia catechu’s wood. Plant exudates such as gums, resins, balsams, volatile oils, and fixed oils are also considered crude medicines. Additional drugs that physicians, surgeons, or pharmacists use directly or indirectly include diatomite for filtering gums or turbid liquids; cotton, silk, jute, and nylon for surgical dressings or kaolin; wax, gelatin, and agar for use as pharmaceutical auxiliaries of flavoring or sweetening agents; and drugs used as insecticides or vehicles. Animal medications can be extracts, like liver extracts, glandular products, such thyroid organs, or whole animals, like can-tharides. Similarly, goods that come from animals include fish liver oils, bee wax, musk, certain hormones, enzymes, and antitoxins. Drugs can be classified as either organized or disorganized. Organized medications come directly from plants and are composed of biological tissues. Unorganized pharmaceuticals are generated by physical intermediary procedures such as cutting, drying, or extraction with water, and although being derived from plants, they do not contain cellular tissue. Thus, unstructured medications include gums, resins, aloe, catechu, opium, and other plant exudates. Kaolin, chalk, diatomite, and other Ayurvedic bhasmas are examples of mineralbased medicines.

1. Introduction Plants naturally contain compounds called phytochemicals. Due to their numerous therapeutic applications, these phytochemicals are becoming more and more well-known these days. Phytochemicals are essential in the fight against a variety of illnesses, including cancer, arthritis, and asthma. These phytochemicals have no side effects like pharmaceutical compounds do. Because the phytochemicals treat illnesses without harming people, they can also be referred to as “man-friendly medicines.” The primary topics of this study are phytochemical collection, extraction, and qualitative and quantitative analysis. In order to protect themselves against herbivores, many plants secrete chemical substances. Examples of therapeutic plants that include the main groups of pharmacologically active phytochemicals are provided below. Weeds that contain phytochemicals, like chickweed, dandelion, and nettle, are frequently found surrounding human settlements. Many phytochemicals, including curcumin, epigallocatechin gallate, genistein, and resveratrol are pan-assay interference compounds and are not useful in drug discovery.

1. Definition and Scope Pharmacognosy is the study of drugs and other economically valuable materials derived from natural sources, encompassing both plant and animal origins. This field examines a wide spectrum of aspects related to these materials, including their history, production, commerce, collection, selection, identification, valuation, preservation, and ultimately, their use. The term “pharmacognosy” was first formally used by C. A. Seydler in his 1815 dissertation, Analecta pharmacognostica. The word itself is derived from the Greek terms pharmakon, meaning drug or medicine, and gnosis, meaning knowledge. Thus, pharmacognosy literally translates to “knowledge of drugs.” It’s crucial to differentiate pharmacognosy from pharmacology due to their distinct areas of focus within the realm of drugs. Pharmacology, aptly defined as “a discourse on drugs,” centers on investigating the effects of drugs and other chemical substances on living systems, be it organs or entire organisms. In contrast, pharmacognosy directs its attention to the origins, identification, and inherent properties of natural products – often from plants, but also including other biological sources – that exhibit potential medicinal or economic significance. Pharmacognosy, by its very nature, is an interdisciplinary science, integrating knowledge from a variety of scientific domains. A strong foundation in botany is fundamental for the accurate identification and classification of medicinal plants. Chemistry is indispensable for elucidating the chemical constituents of these natural products and understanding their characteristics. Zoology provides insights into drugs and materials derived from the animal kingdom. Moreover, the principles of physics and genetics are applied to tackle diverse issues concerning the identity, purity, quality control, and effective preservation of these important natural resources.

For millennia, humans have forged an intimate relationship with the natural world, recognizing and harnessing the therapeutic potential of plants for healing. This unit, “Introduction to Herbal Medicines,” embarks on a comprehensive exploration of plant-based therapies, delving into their historical evolution, fundamental terminology, integration within traditional healing systems, and the practical aspects of their cultivation, processing, and utilization. We aim to provide a solid bedrock of knowledge, enabling a deeper understanding of the science and practice of herbal medicine, and appreciating its enduring significance in the modern world."
1. History and Scope of Herbal Medicines
1.1 Ancient Beginnings: The Dawn of Plant-Based Healing
• Paleolithic Roots: Our most ancient ancestors, from the Paleolithic period, are believed to have harbored a refined comprehension of the pharmacological attributes of vegetation. Excavations have unearthed indications of specific plant utilization for addressing physical trauma and maladies, underscoring an early grasp of their remedial efficacy. This knowledge was likely passed down through oral traditions, forming the foundation of future herbal practices.
• Civilizational Emergence: With the rise of civilizations, medicinal plant use became more structured and recorded. In ancient Sumeria, clay tablets inscribed with cuneiform script, dating back to 3000 BC, record the use of various plants for medicinal purposes, showcasing organized knowledge of herbal remedies. The Egyptian Ebers Papyrus (c. 1550 BC), a remarkable medical text, provides detailed prescriptions for treating a wide array of ailments using plants like aloe vera, garlic, and opium, evidencing a sophisticated understanding of pharmacotherapy. In India, the ancient system of Ayurveda, with its foundational texts, the Charaka Samhita and Sushruta Samhita, meticulously documents the use of numerous medicinal plants, emphasizing a holistic approach to health. Similarly, Traditional Chinese Medicine (TCM), with the Shennong Bencao Jing (c. 1st century AD), provides a comprehensive pharmacopeia, demonstrating the profound integration of herbal remedies into Chinese medical practice.

1. Introduction
Drought’ which apparently means lack of water, is one of most vulnerable natural hazards. It alone causes a huge crop loss annually. But history says it not only affects crop but destroys human lives.in the year 1972 almost 600000 people died due to starvation caused by huge drought in Northern India. In simple language drought means shortage of water mainly caused by abnormal climatic condition and damaging to the environment. Ideally there is no such proper definition of drought because it should be region specific and circumstances specific. A per McMahon and Diaz Arenas (1982) define drought as “a period of abnormally dry weather sufficiently prolonged for the lack of precipitation to cause a serious hydrological imbalance, carrying connotations of a moisture deficiency with respect to man’s usage of water”. Apart from these several general definitions have been provided by many authors. Beran and Rodier (1985) gave a definition based on hydrological aspect of drought that, ‘The chief characteristic of a drought is a decrease of water availability in a particular period and over a particular area’. India meteorological department (IMD) has defined drought as a situation in a subdivision in a year when the actual rainfall is less than 75% of the normal annual rainfall. Basically, to define drought the impact on environment and society and their complex interaction must be considered. Drought is defined as a state of total water capacity being within the range of 12-20% for a period of 16 days and can be distinguished from water deficit, which is the state of water capacity falling below 30%. Drought affects crop development, production, productivity and quality and on other hand soil physical, chemical and biological properties.
2. Classification of Drought
As per the hydrological point of view drought can be classified into different Categories: i) On the basis of source from which water is available: -a. Meteorological Drought b. Hydrological drought c. Agricultural Drought. ii) On the basis of time of occurrence: - a. permanent drought area b. Seasonal Drought Area contingent drought. iii) On the basis of medium: - a. soil drought atmospheric drought.

1. Introduction
The amount of water present in the soil is called as soil moisture. The soil moisture availability is an important topic to study as it affects plant growth, agricultural outputs and the water resource management as well. The amount of soil moisture present in a place and in a time depends on the factors like soil type, Land use, vegetation cover of the place and evaporation taking place in that area at that time. The amount of water hold by the pores in the soil determines the soil moisture. This water holding by the soil depends on various factors like temperature, moisture levels, organic matters and the soil living organisms (Rasheed et al., 2022). Essential Climate variable (ECV) is very important to our planet which can be recognized by GCOS (Global Climate Observing System). Important sustainable development issues say drought, flood management, food security, ecological health and water resources are being impacted by the soil moisture. Soil moisture changes have also a role in evapotranspiration, rainfall, and the runoff distribution and intensities. (Zeng et al., 2023).
Soil moisture content (SMC) have a huge impact in shaping the water, carbon cycles of earth and energy balance in different scales of time and space. It is an important factor for the effective water management due to its influence on the precipitation, surface temperature and evaporation which will be affecting the processes say river runoff, vegetation health, and irrigation practices. The highcost traditional methods make to overlook for SMC in environmental modelling (Edokossi et al., 2020). The atmospheric and the land surface process are blinked by the key facto of SMC as said by Robinson et al. (2008). For gaining the knowledge on water, carbon cycles and energy as well as for studying extreme weather conditions, understanding soil moisture is very much needed. (Vereecken et al., 2014; Li et al., 2007; Seneviratne et al., 2010; Robock & Li, 2006).
Due to the soil moisture’s impact on the factors say when to plant, when to blossom and when to harvest the crop, soil moisture should be considered as the important factor as it is in improving the water resources and boost the agricultural output. Remote sensing methods like microwave remote sensing plays vital role in creating maps depicting the distribution of soil moisture spatially and temporally high resolutions. These maps help in effective crop planning, in-season drought assessment, irrigation and soil managements. The traditional methods like TDR probe, Soil moisture utilizing neutron probe and gravimetric methods are inefficient in studying the soil moisture with high spatial and temporal resolutions due to factors like Variations in terrain, soil type and land use pattern. We can overcome these and enhance our ability to map soil moisture in different scales through the recent advancements of microwave remote sensing (active and passive microwave remote sensing) which are having advantages like clear, accurate and timely measurements of soil moisture content.
Irrigation water sources are controlled through the soil moisture studies by executing the sustainable water management plans and by monitoring high yields despite the environmental changes, increasing water demands and climate changes. To predict the agricultural output, irrigation management, drought early warning, creating vegetation indices, soil moisture study with high temporal and spatial resolutions will be a key factor as it improves the crop stress reduction also which are the major driving forces of yield reduction (Doraiswamy et al., 2004). So, the soil moisture has a direct impact on the crop yield which are studied using variable rate technology say selective application of pesticides which can improve farmers financially as well as environmentally (Harris et al.,1964).

1. Introduction
Soil salinity is a global threat which affects crop production and poses challenges to sustainable development in various regions worldwide. Worldwide, salinity and sodicity impact 20% of cultivated land and 33% of irrigated land, respectively (Kumar and Sharma, 2020). Global map of salt–affected soil (SAS) indicated that 0.424 billion hectares of upper soil layer (0–0.3 m) and 0.833 billion hectares of subsoil layer (0.30–1 m) are salt-affected (FAO, 2021) and by 2050, salinization will degrade 50% of agricultural land (Wang et al., 2003). In India, SAS currently occupy 2.1% of total geographical area. Among the SAS, 2.96 million ha is saline and 3.77 million ha is sodic (Narjary et al., 2024). Due to salinity and sodicity, yearly 16.8 million megagram of agricultural produce are wasted in India, costing of ? 230.2 billion (Sharma et al., 2015).
Salt–affected soils are a significant concern in several regions of India. These soils contain high level of sodium salts (NaCl, Na2SO4, NaHCO3, Na2CO3) which adversely affect soil fertility and crop productivity. Here are some areas in India known to have salt–affected soils:
1. Indo–Gangetic Plain: The Indo–Gangetic Plain, spanning across states like Punjab, Haryana, Uttar Pradesh, Bihar, and parts of West Bengal, is prone to salinity issues. Over–irrigation, poor drainage, the presence of salt containing parent materials in the lithology and use of saline irrigation have contributed to soil salinity.
2. Coastal Regions: Coastal regions in India, such as parts of Gujarat, Maharashtra, Tamil Nadu, Andhra Pradesh, Karela, Odisha and Andaman and Nicobar Islands experience salinity problems due to sea water intrusion and the presence of coastal saline soils. These soils are affected by high levels of sodium chloride and other salts, making them unsuitable for cultivation of most arable crops.
3. Arid and Semi–Arid Regions: Arid and semi–arid regions, including areas in Rajasthan, Gujarat, and parts of Madhya Pradesh, face the risk of soil salinization due to low rainfall, high evaporation rates, and poor– quality irrigation water. Waterlogging in these regions can also lead to soil salinization.
4. Irrigation Command Areas: Certain irrigation command areas in different states, including Punjab, Haryana, and Uttar Pradesh, have witnessed salinity problems as a result of improper water management, excessive irrigation, and inadequate drainage infrastructure.

1. Introduction
As climate change advances, risk of managing soil and atmosphere with regard to emission and pollution is going out of hand. Many researches and reports say that currently the global warming is 1.1°C more than the pre-industrial levels, which is not far behind the target of 1.5°C which was agreed by nations under the Paris agreement in 2015 (Janki M, 2023). Achieving that will likely involve removing carbon dioxide from the atmosphere, according to the Intergovernmental Panel on Climate Change. But strategies like capturing and storing the carbon emissions from biofuel-burning power plants, or planting new forests to absorb carbon, can create their own problems. Recently UN security general said we are shifting to the “Era of global boiling” from global warming. Globally countries are witnessing unbearable heat waves, forest fires, irregular rainfall, flashfloods, coral bleaching and unpredictable weather patterns which often resulting in devastating effects on the coastal and hilly regions of the country. Around nine tipping points have been identified so far globally. Climate tipping points are threshold that when crossed leads to irreversible changes in the climate system and will have a severe impact on the living organisms on the earth. All these variations in climate are driving by increasing greenhouse gas (GHG) emissions and global warming. We cannot change the state of atmosphere to as existed thousands or millions of years ago. Only option left with us is to reduce emissions and prevention of further global warming and climate change. As we are already existing in some level of changed climate, responding to climate change involves a two-pronged approach, reducing emissions of and stabilizing the levels of heat-trapping greenhouse gases in the atmosphere through mitigation and secondly, adapting to the climate change. Because climate change is irreversible process.

1. Introduction
Fish and fisheries remains to be an important sector for Indian economy providing food, nutrition as well as employment to a large share of the population. Initiating with a production of merely 7.7 lakh ton of fishes in 1951-52, the country was on its way of increasing the production steadily and has now attained the phenomenal success of producing 162.5 lakh ton during 2021-22. Of this total amount, 41.3 lakh ton has been obtained from marine fisheries and 121.2 lakh ton from inland resources (Anon, 2022). For the inland fisheries production, the contribution of fish culture sector was much lower than that from capture fisheries for several decades during the initial phases. However, the production of culture fisheries maintained a consistently increasing trend and has now surpassed in magnitude the production from capture fisheries sector (Fig.1). With the potential areas for fish culture being gradually used up for different purposes, maintaining such high production rates in coming days will be possible only through optimum management of various factors which govern the productivity of the ponds. Among such factors, one important aspect is nourishing the quality of pond soil and water.

1. Introduction
Studies on soil health and agricultural growth are increasingly using artificial intelligence (AI) and machine learning (ML) techniques. With the help of these technologies, it is possible to analyse vast amounts of data and gain insightful knowledge that will help to boost crop yields and optimise agricultural practises (Neethirajan, 2020). Applications of AI and ML to research crop development and soil health have enormous potential to revolutionise agriculture. In order to increase soil health and crop yield, farmers and researchers can use these technologies to analyse massive datasets, generate precise forecasts, and optimise farming practises. Overall, artificial intelligence (AI) and machine learning (ML) provide useful tools that can support efficient and sustainable agriculture, solving global concerns in food availability and the sustainability of the environment. Unquestionably, technical developments have significantly increased the productivity and efficiency of many industries, including agriculture. The advent of words like “big data,” “data analytics,” “artificial intelligence,” “Internet of Things,” “erosion modelling,” “smart farming,” and “machine learning” are just a few examples of this technological revolution (Almoussawi et al., 2022). Digital soil mapping (DSM) uses computational models to infer regional and temporal shifts of soil types and properties based on soil observations, prior knowledge, and relevant environmental variables in order to create and populate spatial soil information systems. The supply chain for agricultural production is extremely intricate (Lamichhane et al., 2019). The way our food is produced, distributed, and consumed is changing as a result of AI. When planning crop rotations, planting times, water and nutrient management, pest and disease control, optimal harvesting, food marketing, product distribution, food safety, and other agriculture-related tasks throughout every step of the food supply chain, researchers use powered by AI tools to supply advice and expertise. In “Harnessing AI to transform agriculture and inform agricultural research,” Peters et al. (2020) presented a summary of the most recent developments, difficulties, and prospects for AI technology in agriculture. They use the four main elements of the food system—production, distribution, consumption, and uncertainty—to show the possibilities of AI. They come to the conclusion that agricultural businesses are excellent candidates for using AI and other technologies. In “AI down on the farm,” Sudduth et al. (2020), examined a number of case studies in which machine learning (ML) has been used to model various aspects of agricultural production systems and give data that can be utilised to make management decisions at the farm level. These research efforts involve providing data, essential for creating precise and effective irrigation systems and improving tools for suggesting the best nitrogen fertilisation rates for maize. Traditional crop health monitoring techniques need a lot of work and time. Using AI to monitor and detect potential crop problems or nutrient deficits in the soil is an effective method. Applications to analyse plant health trends in agriculture are being created with the aid of deep learning. These AI-powered tools are essential for improving our understanding of soil quality, crop pests, and disease in plants (Virnodkar et al., 2020).

1. Introduction
Sustainable crop production describes farming practices that do not negatively impact the environment, biodiversity, natural agroecosystem, or the quality of the crops produced. Growing crops sustainably improves the system’s capacity to sustain long-term, steady, and uniform levels of food production and quality without raising the need for or increasing the demand for agricultural inputs necessary for effective management. Sustainable crop production deals with keeping the soil healthy with the integrated approach of maintaining organic matter, protecting biodiversity while reducing use of pesticides, ensuring food safety and food quality. It is an approach to grow food to feed our population without adversely affecting the natural ecosystem, soil and biodiversity, natural resources, environment etc. Since the soil is one of the key natural resources for food production, establishing and preserving soil health is crucial for agricultural sustainability and ecosystem function. The distinction between soil quality and health is quite narrow, and the phrases are sometimes used interchangeably. The “fitness for use,” “capacity of a soil to function,” or “the ability of the soil to serve as a natural medium for the growth of plants that sustain human and animal life” are some basic definitions of soil quality (Karlen et al., 1992; Pierce & Larson, 1993; Doran & Parkin, 1994; Acton and Gregorich, 1995; Karlen et al., 1997). Assessment of soil health by analyzing different associated attributes is necessary to monitor its status. However, soil health or quality evaluation focuses on the physical, chemical, and biological parameters which are highly interlinked to one another. All the parameters have their significant effect in governing overall soil health. This chapter will discuss the chemical parameters only which are very much important for the sustainable crop production and have very crucial role in determining the soil health. It will cover important chemical parameters, essential plant and soil nutrients, heavy metals, agrochemicals etc. which having significant effect on soil health determination

1. Introduction
Global food security threatened by climate change is one of the most important challenges in the 21st century to supply sufficient food for the increasing population on diminishing agricultural land while sustaining the already stressed environment. Global agricultural production is highly vulnerable as key crops such as maize, wheat, rice, and legumes will be negatively affected by climate change. The study showed that each degree Celsius increase in global mean temperature is estimated to reduce the average global yield of cereal crops by 6-15%. Further, predicted changes in climate may affect water availability and key soil processes such as respiration and nitrogen (N) mineralization, thus key ecosystem functions such as carbon (C) storage, nutrients, and water availability. Although crop growth simulation models are being utilized to understand the impact of climate change scenarios on aboveground biomass, the roots and their architecture, which are essential for plant adaptation and productivity, need to be studied more due to the difficulty of observing them during the plant life cycle. The root system and its architecture are highly responsive to external environmental conditions such as soil moisture, nutrients, temperature, pH and microbial communities; therefore, it is high time to study below-ground responses to future climate scenarios. The study of plant roots represents a highly promising yet underexplored area of research related to plant growth. While the aerial parts of plants have received significant attention due to their visibility and accessibility, the underground portions have been largely overlooked due to the challenges in observing and sampling them and the disruption caused when roots are removed from the soil. Plants’ efficiency of water and mineral nutrient uptake largely depends on how effectively new root tips penetrate soil horizons and how these roots eventually die and decompose. The plant’s ability to access soil resources depends on the size of its root system and the activity of its growing root tips. Root growth is influenced by both genetic factors and environmental conditions. For example, fine root dynamics vary with the seasons, with increased vegetative growth and nutrient release occurring during the monsoon months. (Kumar et al., 2020). Further research is needed to assess how different tillage and water management practices affect rooting behaviours, soil water extraction, and nutrient uptake.

1. Introduction
Soil is an extremely complex ecosystem and performs many functions, i. e, biomass production; food contingency, fuel and fibre; buffering and transforming actions; breakdown of organic matter; nutrients recycling; carbon sequestration; providing a biological habitat; source of raw materials; and regulation of water quality and supply (Weil and Brady, 2017; Telo da Gama, 2023). However, because of natural as well as anthropogenic reasons, there is a widespread degradation of soils. Soil degradation means deterioration in overall soil functioning which leads to slowdown of distribution of ecosystem services because of the impairment of soil health through anthropogenic perturbations. Therefore, farmers and researchers are very much concerned about soil health and crop productivity. Soil health status and its quality are often used interchangeably and have been defined by research community differently but recently the word soil health is acquiring popularity due to its flexibility in allowing diverse stakeholders, including policymakers to use the term in their own way. Recently, soil health is a topic of much discussion and research (Bünemann et al., 2018). Soil health is described as “the continued capacity of soil to function as a vital living ecosystem that sustains plants, animals, and humans” (USDA-NRCS, 2019). A broader, ecologically based approach is “the capacity of soil to function as a vital living system, within ecosystem and land-use boundaries, to sustain plant and animal productivity, maintain or enhance water and air quality, and promote plant and animal health” (Doran et al., 2000). Soil health refers to the actual capacity of a soil to function, contributing to ecosystem services. Many have defined it as “fitness for use” while the rest regard as “capacity of the soil to function”. Lehmann et al. (2020) stated that the concept of soil health “connects agricultural and soil science to policy, stakeholder needs and sustainable supply-chain management” and compared the soil health concept to soil fertility, soil quality and soil security. Furthermore, they came to a conclusion that soil health is narrower concept than soil security, but more comprehensive than soil quality and even broader than soil fertility, in relation to the current sustainable development goals (SDGs) as proposed by United Nations. From an overall perspective. Soil health comprises of refinement and unification of the chemical, physical, physico-chemical, biophysical, biochemical indicators of soil that supports productivity and environmental quality (Figure 1). Soil can be classified as healthy or unhealthy based on its ability to sustain plant and animal productivity while maintaining air and water quality.

1. Introduction
Global food insecurity is a prominent concern today, and this concern continues to haunt with exponential population growth, coupled with significant climate changes. The global population has increased at a rapid rate to around 8 billion in number which has led to a corresponding rise in food demand worldwide (UNFPA, 2023). Consequently, ensuring ample crop production has emerged as a primary objective for the entire world. According to World Bank (2023), an important strategy to bring down extreme poverty levels, fostering shared prosperity and providing sustainability for the expected population rise of 9.7 billion is agricultural development by 2050. Nevertheless, optimizing the productivity of a crop is never an easy task. Crop plants continuously face exposure to different abiotic and/or biotic factors, which retard growth and development processes ensuing their reduced productivity and diminished crop quality. Agricultural crops are vulnerable to biotic stresses such as bacteria, nematodes, fungi and herbivores. In addition to biotic factors, these challenges are further exacerbated by abiotic stresses like flooding/waterlogging, drought, temperature variations, soil salinity/alkalinity, heavy metals, nutrient deficiencies and CO2. They have a detrimental impact on crop at different stages of plant growth, ranging from entire plant to tissue and sub-cellular structures. Moreover, the abiotic stressors cause a direct impact on crops by inducing protein denaturation and aggregation, while also increasing the fluidity of membrane lipids (Kumari, 2022). According to Oshunsanya et al. (2019) major abiotic stresses i.e. extreme temperatures, drought, and nutrient deficiency/toxicity, contributes to significant annual crop yield losses ranging from 51-82% worldwide. On the other hand, yield penalties due to waterlogging merely is supposed to increase from 3–11% today to around 10–20% by 2080 (Liu et al., 2023). Daryanto et al. (2016) reviewed the published literatures from 1980-2015 and reported global yield reductions due to drought estimating around 21 % and 40%, respectively in wheat and maize.

1. Introduction
Nanotechnology, which involves manipulating and controlling matter at the nanoscale, offers innovative solutions for enhancing soil quality, nutrient management, and remediation of contaminated soils (Lal et al., 2019). According to the Food and Agriculture Organization (FAO, 2015), approximately 33% of global soils are degraded due to erosion, nutrient depletion, and chemical contamination. This degradation poses a severe threat to food security and environmental sustainability. Moreover, the world population is projected to reach 9.7 billion by 2050, placing further pressure on agricultural systems to produce more food without degrading soil resources (Tripathi et al., 2019). In this context, nanotechnology presents a promising avenue for sustainable soil management. The unique properties exhibited by nanomaterials enable precise monitoring, targeted delivery of nutrients, and effective remediation of soil contaminants. Nanosensors equipped with nanomaterials and nanoparticles allow real-time monitoring of soil parameters, enabling farmers to make informed decisions regarding irrigation, fertilization, and pest management (Gogos et al., 2017). For instance, a case study conducted by Smith et al. (2021) demonstrated the effectiveness of nanosensors in monitoring soil moisture levels and optimizing irrigation practices, resulting in a 20% reduction in water usage while maintaining crop yield.
Furthermore, nanotechnology offers innovative solutions for nutrient management in agricultural soils. Nanoencapsulation techniques allow controlled release of fertilizers, minimizing nutrient leaching and improving nutrient uptake by plants (Lal et al., 2019). In a case study by Johnson et al. (2020), the application of nanoencapsulated fertilizers resulted in a 15% increase in nutrient use efficiency and a reduction in fertilizer runoff by 30%, thus improving soil health and reducing environmental pollution.
Moreover, nanomaterials exhibit high sorption and catalytic properties, enabling efficient removal of heavy metal contaminants and organic pollutants from soils, thus mitigating soil contamination risks (Wang et al., 2022). A case study conducted by Chen et al. (2019) demonstrated the successful remediation of a heavily contaminated soil site using iron oxide nanoparticles, resulting in a significant reduction in heavy metal concentrations and improvement in soil health indicators.

1. Introduction
Precision farming, often referred to as precision agriculture, is an advanced agricultural management approach that leverages technology and data-driven strategies to optimize various aspects of farming operations. At its core, precision farming involves the precise measurement and control of variables like soil conditions, crop growth and environmental factors to enhance productivity, sustainability and resource efficiency. This approach encompasses use of a wide range of automated technologies, including Global Positioning System (GPS), Geographic Information Systems (GIS), remote sensing, sensor networks and automated machinery.
The significance of precision farming lies in its potential to revolutionize agriculture by addressing sustainability and conservation of resources. Precision farming is able to tailor farming practices to specific field conditions. This sitespecific management approach minimizes resource wastage, incumbent costs and environmental hazards. It enhances crop management through real-time monitoring and data analysis. By the use of GPS fitted automated machinery, drones and robotic harvesters and advanced decision support system labour costs are reduced and efficiency is increased (Gebbers and Adamchuk, 2010).By employing soil sensors, and satellite imagery, farmers can gain valuable insights of soil moisture, nutrient levels and pest infestations which helps in irrigation scheduling and adequate fertilizer application (Srinivasan et al., 2019). In contemporary agriculture, the need for sensor-based approaches in soil management has become increasingly apparent. These approaches harness cuttingedge technology and data-driven solutions to optimize soil health, crop production and resource utilization. One of the primary advantages of sensor-based approaches is their ability to monitor soil moisture levels. Soil moisture sensors, such as those based on time-domain reflectometry (TDR) or capacitance technology, provide continuous data on soil moisture content at different depths (Dzikiti et al., 2012). In addition to monitoring moisture and nutrients, sensors can assess other vital soil parameters. Soil pH sensors help maintain the optimal pH level for crop growth, as soil pH can affect nutrient availability. Compaction sensors identify areas of soil compaction, allowing for targeted tillage practices to alleviate compaction and improve root growth. These are just a few examples of how physical parameter sensors can address soil health challenges, as documented in studies by Marchetti et al. (2018) which emphasizes the role of sensors in mitigating soil erosion. Chemical parameters sensors like soil nutrient sensors, such as ion-selective electrodes, can measure key nutrients like nitrogen, phosphorus and potassium. This information enables farmers to tailor their fertilization practices with pinpoint accuracy through variable rate technology (VRT) (Zhao et al., 2018). Moreover, sensor data can be integrated with Geographic Information Systems (GIS) and global positioning systems (GPS) to create detailed soil maps, aiding in sitespecific management strategies.

1. Introduction
Soil hydrothermal regime refers to the distribution and movement of water and heat within the soil. It describes the patterns of soil moisture and temperature variation over time and space. Understanding the hydrothermal regime is important in agriculture, ecology, and engineering, as it affects various soil processes, plant growth, and the behaviour of soil-related structures. The hydrothermal regime of soil is influenced by several factors, including climate, topography, vegetation, soil properties, and land use practices. The movement of water within the soil is driven by precipitation, irrigation, evaporation, and plant uptake (Aggarwal et al., 2009). It can be affected by soil physical properties such as soil texture, structure, porosity, and permeability. Water moves through the soil in response to hydraulic gradients, which are determined by the difference in soil water potential. Soil temperature is influenced by solar radiation, air temperature, and heat fluxes at the soil surface. It varies with depth and can be affected by factors such as soil color, moisture content, vegetation cover, and the thermal properties of the soil. The hydrothermal regime of soil has significant implications for plant growth and development. It affects processes such as seed germination, root growth, nutrient availability, and microbial activity. It also plays a crucial role in soil erosion, groundwater recharge, and the movement of pollutants within the soil profile. Soil’s thermal properties are pivotal in determining the microclimate, which subsequently influences critical stages like seed germination, the growth of seedlings, and the successful established of a crop stand. These properties are vital for modelling the movement of energy, water, and nutrients in soil. Soil thermal regimes are shaped by static properties such as texture and mineralogy and dynamic properties including water content, compaction, organic matter, and porosity. These dynamic properties including water content, compaction, organic matter, and porosity. These dynamic properties, significant to significant change during various farming operations can be adjusted with suitable soil and crop management strategies. Soil moisture content has a significant effect on the soil thermal conductivity. The relationship between soil moisture and thermal conductivity