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We believe that a book on Advances In Monitoring Soil Health And Plant Growth For Better Agriculture is needed with a particular focus on state-of the -art technologies for management of soil and plant health. So, we designed the book to address every aspect of soil health management starting from the soil physical, chemical and biological health, use of AI-driven machine learning approaches in soil health management, drought monitoring and assessment, hyperspectral remote sensing and thermal imaging, assessment and monitoring of soil ecosystem services in a lucid language. We strongly believe that the traditional soil health management techniques should be linked with advanced agrophysical techniques and innovative tools. The major aspects of advances in monitoring soil health and plant growth for better agriculture, which are discussed in this book are essential evolved to tackle second generation problems of soils, water and environment. The book is having eighteen chapters altogether that systematically cover the advanced approaches and techniques of soil and plant health management. The book deals sensory technology, spectroscopic methods, simulation modelling, remote sensing and UAVs which is indeed an apt topic and relevant to the present context. The authors have discussed the complex soil-plant-atmosphere continuum and developing appropriate technologies for different agro-climatic conditions. The authors discuss extensively the latest and emerging technological approaches including thermal imaging, hyperspectral remote sensing, soil quality assessment, ecosystem service quantification, simulation modelling for abiotic stress management, drought monitoring and assessment, use of nanotechnology in agriculture, use of AI-driven machine learning approaches for soil health assessment and management of soil hydrothermal regimes, and conservation agriculture (CA). We hope students, researchers, scholars, investors, scientists as well as policymakers will enjoy reading this book and may gather some useful knowledge in their respective fields of work. We received unprecedented support from Director, ICAR-Indian Agricultural Research Institute, New Delhi along with other ICAR institutes ICAR-National Rice Research Institute, Cuttack, Odisha; ICAR-Indian Institute of Water Management (IIWM), Bhubaneswar and number of scientists and well-wishers for developing the book. Those whom we wish to mention are Dr. Ch. Srinivasa Rao, Dr. A. K. Nayak, Dr. H. Pathak, Dr. R. C. Agrawal, Dr. A. K. Patra. We are indebted to all the authors from different parts of the country who have contributed in form of different chapters of this edited book.

1. Introduction Crop health valuation plays a vital part in modern agriculture as it positively stimulates food security, economic constancy, and ecological sustainability. This process involves monitoring and evaluating the growth and development of crops, finding possible stressors or diseases, and executing suitable management practices. Judicious and precise evaluation of crop health permits early exposure of diseases, pests, and other irregularities. Detecting these problems at their early growth stages can aid prevent extensive occurrences and decrease the need for unnecessary pesticide use, indorsing justifiable crop management practices. Assessing crop health on a regular basis help in enhancing yields by detecting factors that could inhibit crop productivity. Agricultural systems can be made resource-efficient by incorporating tools, modern technologies and information management systems that come under the precision agriculture concept. Modern scientific improvements, comprising Global Positioning System (GPS), grain yield monitoring system, Variable Rate Technologies (VRT), sensor networks, and Femote Sensing (RS), have assisted farmers to detect in-field heterogeneity of crop and soil and adopt site-specific farm management practices. Varying the application of inputs with VRT can decrease the cost of inputs and labor, increase productivity, and decrease the potential environmental influences from the overuse of farm inputs. However, the success rate of VRT needs precise and consistent information on the location and extent of crop and soil health conditions, such as crop nutrient shortages, soil and crop water deficiency, and injury caused by insect pests, weeds, or pathogens. So far, the dominant remote sensing technologies that the farming sector has used are visible (VIS), Near-Infrared (NIR), and short-wave infrared (SWIR) sensors. The use of thermal sensors in agriculture is to some extent narrow despite its wide use in the areas of medical science (Ring and Ammer, 2012), intelligence/military (Hinz and Stilla, 2006), and the food processing sector (Vadivambal and Jayas, 2011). By providing temperature variations of soil and crop canopy, thermal remote sensing has the prospective to be used for various

1. Introduction In the realm of modern agriculture, achieving sustainability is paramount. The judicious use of resources and the maintenance of soil and crop health are vital components of this endeavor. Remote sensing is a powerful technique used to gather information about the Earth’s atmosphere and surface without direct physical contact (Lillesand et al., 2015). It involves the acquisition, measurement, and analysis of data from sensors aboard platforms such as satellites, airplanes, drones, or ground-based instruments. These sensors record electromagnetic radiation, providing valuable insights into various aspects of the Earth’s environment. Remote sensing technology has emerged as an invaluable tool for achieving these objectives, offering a range of benefits for sustainable agriculture (Jensen, 2009). With the advent of modern technologies such as hyperspectral remote sensing (HRS) that collects information in narrow contiguous bands, many new avenues of applications have come up. This detailed spectral information enables the precise identification and classification of objects based on their unique spectral signatures. Further, the narrow spectral reflectance provides significant information regarding the biophysical, biochemical, and physiological parameters of crops. These characteristics of HRS provides opportunities for improved feature identification, anomaly detection, and quantification. Often HRS data also complement to the remote sensing data, such as LiDAR or SAR (Synthetic Aperture Radar), allowing for a more comprehensive understanding of the Earth’s surface and its features. All these features of HRS enables precision agriculture, allowing the management practices as per the specific needs of the fields. By assessing soil and crop conditions remotely, one can apply resources like water, fertilizers, and pesticides precisely where and when they are needed. This minimizes waste and reduces the environmental impact of agricultural operations. Hyperspectral remote sensing can also assess critical soil parameters such as moisture content, pH levels, and nutrient concentrations. Monitoring these factors over time helps farmers make informed decisions about soil management and the choice of suitable crops. It also aids in preventing soil degradation and erosion. Early detection of stressors like pests, diseases, and nutrient deficiencies is crucial for maintaining crop health and maximizing yields. Remote sensing provides a timely and accurate means of monitoring crop conditions across large areas, enabling rapid responses to threats and reducing yield losses. In regions with water scarcity, efficient water management is essential. Remote sensing can track soil moisture levels and assess irrigation needs. By optimizing irrigation practices, farmers can conserve water resources while maintaining crop productivity. Remote sensing, particularly hyperspectral remote sensing can detect changes in

1. Introduction Soils stand out as an intricate and diverse ecosystem on our planet. Their significance extends beyond supplying 98.8% of the world’s food, encompassing a wide array of essential services such as carbon storage, regulation of greenhouse gas emissions, flood prevention, and offering support to burgeoning urban populations. However, it is crucial to recognize that soil is a finite natural resource. The unprecedented growth of the human population, escalating from 250 million in the year 1000 to 6.1 billion in 2000, with projections reaching 9.8 billion by 2050, along with the intensified practices of agricultural production, is exerting immense pressure on the sustainability of soils. For long-term sustenance the concept of ‘Soil quality’ was propagated around three decades back from now in the United States of America, and further expanded to the scientists of European and Asian countries. Soil health and soil quality are two interweaving term that signifies the potentiality or capacity of soil towards mankind. These two words complement each other in such a way that one term automatically comes with another to determine both aspects i.e. agricultural sustainability and environmental quality in terms of plant, animal and human health (Haberern, 1992; Doran, 2002). Idowu et al. (2007) remarked that the term “soil quality” is more favoured by scientists, whereas “soil health” is a term favoured by farmers as it connotes a holistic approach to soil management. The inception and application of soil quality term was officially approved by Soil Science Society of America (SSSA). They defined soil quality as “The capacity of a specific kind of soil to function within natural or managed ecosystem boundaries, to sustain biological productivity, maintain environmental quality, and promote plant and animal health” as illustrated by Karlen et al. (1997). It is a complex composition of certain properties associated with physical (texture, bulk density, water holding capacity, infiltration capacity etc.), chemical (pH, EC, organic carbon, extractable macronutrient and micronutrient etc.) and biological (microbial activity and related parameters) conditions of soil (Prabha et al., 2020). There are primarily two key methodologies for assessing soil quality: the descriptive approach, which focuses on characterizing various aspects or attributes of soil quality, and the Indicative approach, which aims to identify the ability or capacity of an attribute in a desired manner. The comprehensive process of developing a soil quality index is guided by the 3-Is framework: the Identification of indicators, Interpretation, and Integration of selected soil quality indicators. It is important to note that the specific set of indicators utilized can vary between different soils, diverse agroecosystems, and from one crop to another. Additionally, climatic conditions and other abiotic factors may also significantly influence the assessment of soil quality. The USDA has categorized soil quality indicators into four primary groups: visual, physical, chemical, and biological indicators. However, in the current context, the dominant indicators are physical, chemical, and biological. For a systematic assessment of soil quality, it is crucial to collect individual parameters and integrate them meaningfully. Consequently, integrated soil quality indicators

1. Introduction Ecosystem Services (ES) are actually the benefits human beings derive from their interaction with nature (Reyers et al., 2013; Ernstson, 2013). Around 400 BC, Plato observed how important service provided to Attica by the forests and subsequent loss of forests lead to drying spring and soil erosion (Mooney and Ehrlich, 1997). Thus, the work of Plato highlights that how the people were even then aware of the critical services provided by nature much before the industrial revolution (Rapidel et al., 2011). These ES are categorised into mainly provisioning, supporting, regulating and cultural services as per the Millennium Ecosystem Assessment (MEA, 2005). In fact, the increasing population warrants more and more set of ES (Biggs et al., 2015). A combination of factors responsible for delivery of ES like geology, climate, ecosystem, management scenarios, society, techniques, skills etc. that led to ES in an agricultural ecosystem (Kroll et al., 2012; Swinton et al., 2007). The ordinary nature largely comprised of agricultural lands (i.e., intensive crops, species poor, artificial pasture) that covers around 37.4% of total Earths’ land surface (FAOSTAT, 2016; Leff et al., 2004). Converting large tract of pristine lands into agricultural land and other competing uses considered to be one of the main reasons for biodiversity loss and land degradation (Tilman et al., 2001). Thus, meeting the challenge of working with limited arable land to feed our population in an eco-friendly manner requires our proper understanding of processes/mechanisms involved in nutrient availability/dynamics including fixation/ release pattern and refining the best management practices (Kumar et al., 2022a). The production of food has been targeted at the cost of other ES like supporting, cultural and non-marketable provisioning services (Muller et al., 2016; Foley et al., 2005; MEA, 2005). There is complex interaction between ecosystem and societal changes in an agricultural landscape. One is intermittently connected to other. Thus, it requires thorough understanding of the processes and biophysical factors that affect ES research, in particular and social-ecosystem, in general (Reed et al., 2013; Carpenter et al., 2006; Plieninger et al., 2013). The ES that contribute to the agricultural production are mostly linked to aspect of soil fertility, biological control as well as pollination (Bommarco et al., 2013; Duru et al., 2015).

1. Introduction Water is the most crucial input for agricultural production. Globally, more than 80% of all freshwater used by humans are consumed in agriculture and most of it are for crop production (Morison et al., 2008). Currently about 60% of production in developing countries is derived from rainfall. Though irrigation provides only 10% of agricultural water use and covers just around 20% of the cropland, it can contribute about 40% of total food production since productivity of irrigated land is almost three times higher than that of rainfed land. The Food and Agriculture Organization (FAO) has predicted a net expansion of irrigated land of about 45 million is hectares in 93 developing countries (for a total of 242 million hectares in 2030). It projected that water withdrawals by the agriculture sector will increase by about 14% during 2000 – 2030 to meet the growing food demands (FAO, 2006). It is estimated that by 2050 in India, about 22 % of the geographic area and 17 % of the population will be under absolute water scarcity. The per capita availability of water which was about 1704 cubic meter in 2010 is projected to be 1235 cubic meter in 2050 (Anonymous, 2011). Infrastructure to increase the command area and minimize the gap of irrigation potential created and utilized is the dominant component of overall investment in agriculture (Anonymous, 2011). Besides this, judicious agricultural water management assists in ensuring good returns through efficient use of fertilizers and high yielding crop varieties. Above all, water will remain as a critical input for attaining sustainability in agricultural production. India’s current water supply is approximately 740 billion m3, which necessitates implementation of judicious water management technologies to enhance crop water productivity. In recent decades the world’s population has shown tremendous growth from an estimated 2.5 billion in the 1950’s to approximately 6.7 billion till date. It is expected that reduction in the average size of land holding, declining per capita water availability, deterioration of water quality etc. will seriously affect the sustainable use of water resources and will make it difficult to accomplish the target of producing 345 Mt of food grain in 2030 and 494 Mt in 2050 AD. To achieve the targeted food production, increase in the crop productivity from the present 2.3 to 4.0 t ha-1 under irrigated conditions and from 1.0 t ha-1 to 1.5 t ha-1 in rainfed area, productivity need to be increased at individual field level. This demands efficient use of water in agriculture, which can be achieved by reducing the losses of water and increasing the water uptake by the crops and it requires quantification of different water budgeting parameters like evapotranspiration and deep percolation.

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

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 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 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 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 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 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 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 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 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 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 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 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.