eChapters

Introduction
The identification of agricultural crops with accuracy determines how precision farming works and affects biodiversity protection and food safety standards in addition to pest control practices. In modern agricultural practice, crop species identification relies on the combination of three traditional methods: morphological characteristics and biochemical markers, and remote-sensing technologies. These methods face a large variety of constraints such as environmental differences, high costs, and time-consuming operations. Genome-editing tools, especially CRISPR, a modern molecular identification tool for crops that increases efficiency and accuracy, have largely solved the problems traditional methods faced. Identifying agricultural crops correctly is an essential operation for resource management to be used efficiently in the hope that businesses meet regulatory standards and do their share in stopping trade-related fraudulent activities with incorrect labeling. The early and exact identification process helps pest and disease control because different crop species need different levels of resistance management (Rahayu et al., 2025). A reliable identification methodology remains important because sustainable agricultural practices and climate-ready crop varieties reach higher popularity in current times. The identification method based on morphological classification takes too much time and gets misdirected because of environmental conditions (Mascellino et al., 2024). High-resolution satellite data together with advanced computational tools needed for remote sensing-based identification cannot easily be accessed by small-scale farmers (Sharma et al., 2024).
The high specific identification of crop species becomes achievable through CRISPR-based technology which utilizes genetic markers as its primary feature. CRISPR enables fast and exact and affordable crop classification through its ability to detect and analyze specific genetic patterns. The accuracy of crop identification improves while real-time evaluation of plant diversity alongside disease. Alert traits becomes achievable through this method (Kanapiya et al., 2024). CRISPR-based biosensors have experienced recent advancements that enabled portable field-deployable identification tools which eliminate the need for complex laboratory setups (Lagener et al., 2025). Crop monitoring and breeding programs will undergo revolution through CRISPR technology integration in agricultural systems which will support the creation of climate-adaptive highyield crop varieties.
The evolution of CRISPR application research demonstrates its expanding function in farming efficiency together with food security establishment. The chapter explores CRISPR-based methods’ identification potential for crops using an evaluation of their superiority over conventional identification techniques and their expected contributions to future agricultural developments

Introduction
Crops play a crucial role in sustaining human life by providing food, fuel, feed, and other essential resources. However, both the changing global climate and human activities have significantly impacted crop production and productivity. Projections suggest that the world’s population will reach 9.6 billion by 2050, necessitating a 7% increase in agricultural output to meet the expanding needs (PRB 2020). Therefore, it is imperative to enhance agricultural productivity to address the growing food demands. To tackle challenges such as climate change, diminishing arable land, water scarcity, and various biotic and abiotic factors causing significant crop losses, innovative crop breeding technologies are urgently needed to boost agricultural productivity and promote sustainable development.
Presently, modern agriculture relies on crossbreeding, mutation breeding, and transgenic breeding as primary methods to enhance crop productivity and quality. Crossbreeding entails mating an elite recipient line with a donor line to generate offspring with desired traits, which are subsequently backcrossed with the recipient line over multiple generations to remove any unintended linked traits. However, this approach typically requires 8-10 years to introduce desired alleles and augment genetic diversity.

1. Ideotype : It is a biological model which is expected to perform in a predicted manner in a defined environment.

2. Shuttle breeding: Growing of segregating generation in different environments.

Crop evolution stands as a testament to the intricate dance between humans and nature, spanning millennia of coexistence and mutual influence. At the heart of agricultural history lies the story of how humble wild plants were transformed into the diverse array of crops that sustain humanity today. This narrative of adaptation, selection, and innovation not only shaped the course of human civilization but also continues to underpin the global food system in the modern era.
The Origins of Agriculture
The origins of agriculture mark a pivotal moment in human history, marking the transition from nomadic hunter-gatherer societies to settled agricultural communities. As early humans began to cultivate plants for food, they inadvertently initiated a process of selective breeding that would fundamentally alter the genetic makeup of these plants. Wild grasses such as wheat, barley, and rice were among the first to be domesticated, their seeds carefully harvested and replanted by ancient farmers who recognized their potential for sustenance.

Germplasm is the sum total of all the genes and their alleles present in a crop and its related species. Germplasm is also termed as genetic resources. It may be release as a variety, subjected to selection for developing a variety, and may be used as a parent in hybridization programme. They may be obtained from gene banks, center of diversity, gene sanctuary, farmer's field and seed companies.

Types of Germplasm

1. Land races

These are primitive varieties/cultivars. They are storehouse of genetic variability. Land races were first collected and studies by N.I.Vavilov in rice. They are the source of development of varieties in many valuable crops.

2. Obsolete varieties

The improved varieties of recent past are called as obsolete varieties. These varieties were breed by systematic breeding methods, were once commercially cultivated, but are no more grown. For example, wheat varieties K65, Ph591, many NP series etc.

Genetic resources deal with germplasm of a given species that provides the necessary genetic variation for the improvement of that species in terms of particular products, increased efficiency and higher levels of productivity. Genetic resources are, in this sense, the building blocks, fundamental not only to a crop improvement programme, but also for the very survival of the species in time and space (Swaminathan, 1983).

As agriculture is becoming more and more intensive and location-specific, plant breeding objectives are becoming more and more complex. Besides high yield, a modern variety is often expected to combine specific duration, nutritional attributes, adaptation to varying soil and water regimes, and resistance to ever-multiplying pests and diseases—to mention only a few of the character combinations. To meet these objectives, a wide range of germplasm must exist, and the plant breeder should have an easy access to the genetic resources.

The term ideotype was proposed by Donald in 1968. Ideotype is a biological model which is expected to perform in a predicted manner in a defined environment. A crop ideotype is a plant model that is expected to perform better in a particular environment. The concept of ideotype changes from crop to crop, climate to climate and the concepts and policies of the community concerned. Ideotype breeding is the development of a plant type, expected more quantity of grains, with ideal character. Plant characters are selected from an agronomic point of view.

With the current food production level of 275.11 million tonnes, India has to step up food grain production by next decade to feed the burgeoning population (Report Ministry of Agriculture). India with 2.3% of the global geographical area, supports about 16.8% human population, 20% of the world’s livestock. However, per capita availability of land for producing agricultural commodities has declined from 0.34 ha in 1951 to about 0.23 ha in 1980 and 0.15 ha in 0.15 ha during 2015 and it is expected to decline further to about 0.09 ha by 2050 A.D. With the possibility of horizontal expansion or putting more land under cultivation being remote, further augmentation in yield in Indian agriculture will be forced more and more into marginal or problematic soils accompany about 57% geographical area with increasing competition for good quality lands.

11.1 Biomass

Globally, all agricultural countries have promoted the use of biomass sources for many household applications and biomass energy generation. Biomass is defined as the bio residue available from the sum of crop production, agricultural waste, vegetation, forestry waste and organic waste. Biomass is a renewable source of energy and contains a complex mixture of carbon, nitrogen, hydrogen, and oxygen. Various biomass resources are available in different parts of countries and are classified based on their availability. The broad classification of biomass energy is in three formats; residue of agricultural crops, energy plantations, and municipal and industrial waste. Agriculture residues are organic materials produced as the byproduct from processing and harvesting of agriculture crops. 

Crossandra is an important tropical flowering crop valued for its attractive flowers and continuous production of loose blooms. It has particular importance in southern India, where flowers are widely used for garlands, hair decoration and religious purposes. This chapter covers the crop’s botanical characteristics, origin, distribution, genetics and commercially important varieties. It explains propagation, nursery management, climate and soil requirements, land preparation, planting, irrigation and nutrient management. Important cultural practices and plant growth management are discussed for obtaining regular flowering and good-quality blooms. The chapter also addresses insect pests, diseases, harvesting and postharvest management, including the correct method of flower collection. It provides a comprehensive production package for growers and students.

ABSTRACT

The concept and nature of intellectual property have undergone a paradigm shift during the last few decades. The importance of effective IPR governance has attracted the attention of its stakeholders. Hence, this paper focuses on the role of IPR governance and management practices for improving the quality of relationships among stakeholders besides documenting current and future trends of IPR governance and management.

INTELLECTUAL PROPERTY RIGHTS – AN INTRODUCTION

Intellectual property rights refer to the privileges granted by the government to any individual or organization for creative prowess. In recent years, such rights have gained immense importance. The laws in existence for protection and enforcement of these rights are meant to foster innovation and for regulating the use of inventions.

The integration of bioinoculants and nanoparticles presents a promising strategy for enhancing sustainable agricultural practices, yet significant challenges impede their widespread adoption. Limited awareness among farmers regarding the benefits and applications of these technologies is a critical barrier, emphasizing the need for targeted educational initiatives. Additionally, the high cost of nanoparticle and bioinoculant formulations restricts accessibility, particularly for small-scale farmers. Standardization and quality control protocols are crucial to ensure consistent efficacy, as variability in bioinoculant formulations can compromise their effectiveness. Regulatory frameworks remain complex, further hindering commercialization and large-scale implementation. Environmental concerns are also prevalent, given the potential toxicity of nanoparticles like zinc oxide and silver nanoparticles, which may disrupt soil microbial communities. Despite these challenges, future prospects for bioinoculants and nanoparticles are promising. Integrating these technologies into sustainable farming practices can reduce the reliance on synthetic fertilizers and pesticides, as seen in the use of Azospirillum brasilense encapsulated in chitosan nanoparticles to enhance drought tolerance in maize. Furthermore, the application of Pseudomonas putida encapsulated in alginate nanoparticles has effectively mitigated heavy metal stress in tomato plants. Precision agriculture, employing data analytics and remote sensing, can optimize the targeted delivery of bioinoculants and nanoparticles, maximizing crop productivity and nutrient uptake. However, comprehensive in vivo studies are essential to assess long-term efficacy and environmental impact under field conditions. Future research should focus on developing ecofriendly nanomaterials, refining controlled-release systems, and conducting

Cut greens are essential components of floral arrangements, providing structure, contrast, visual balance and supporting foliage around flowers. This chapter introduces commercially important cut foliage crops and explains their ornamental and economic significance. It covers species such as Adiantum, Aglaonema, Alocasia, Alpinia, Anthurium, Asparagus and Aspidistra, together with their cultivation requirements. Climate, shade, soil, irrigation, nutrition, weed management, pests and diseases are discussed along with harvesting, postharvest treatments, pulsing solutions and vase life. The chapter demonstrates how commercial cut-green production can complement flower enterprises and provide additional income opportunities for floriculture growers.

Introduction
Cytoplasmic male sterility (CMS), a condition under which a plant is unable to produce functional pollen, is widespread among higher plants. CMS systems represent a valuable tool in the production of hybrid seed in self-pollinating crop species, including maize, rice, cotton, and a number of vegetable crops. Hybrids often exhibit heterosis, more commonly known as hybrid vigor, whereby hybrid progeny exhibit superior growth characteristics relative to either of the parental lines. CMS systems can be of considerable value in facilitating efficient hybrid seed production.
Male-sterility-inducing cytoplasms were recognized in the 1900s. Bateson and Gairdner reported male sterility in flax in 1921, was inherited from the female parent, although genes passed from both the male and female parents affected its expression. Chittenden and Pellow (1927) recognized that male sterility in flax was due to an interaction between the cytoplasm and nucleus, with the male sterility conditioned by the homozygous recessive nuclear genotype in combination with the sterility-inducing cytoplasm.

Dahlia is a highly valued ornamental crop recognized for its large, colourful and diverse flower forms. This chapter introduces its origin, classification, botanical characteristics, genetic diversity and commercially important varieties. It discusses propagation through seeds, tubers and other methods, together with climate and soil requirements, planting, spacing, nutrient management, irrigation and crop regulation. Staking, pinching, disbudding and other cultural operations are explained for producing quality stems. The chapter also covers major insect pests, diseases, harvesting, postharvest handling, grading and yield. Its practical approach makes it useful for commercial growers and students of ornamental crop production.

Abstract

Biological databases that are composed of a large collection of digital nucleic acid sequences, protein sequences, or other polymer sequences stored on a computer, which is made available to the research community worldwide using web servers. The vast amount of information generated in molecular biology is analyzed, curated, tabulated, and arranged in databases. There are different types of biological databases, based on their contents. Besides, the database management system, a program to manage the databases, can be of two types: distributed DBMS and relational DBMS. This chapter briefly narrates the importance and purpose of biological databases.

Deep learning has significantly advanced automated plant phenotyping and disease detection by enabling computers to identify complex patterns in large volumes of plant imagery and sensor data. This chapter examines the fundamentals and applications of deep learning architectures in plant science. It discusses convolutional neural networks for image-based plant analysis and advanced architectures including recurrent neural networks, transformers and hybrid models. Data acquisition through imaging and sensor technologies is also considered. The chapter highlights how deep learning can support automated identification of plant characteristics, disease symptoms and crop health conditions. Challenges related to datasets, environmental variability, computational requirements and model generalization are examined alongside emerging research opportunities.