eChapters

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.