eChapters

Livestock farms generate large quantities of physiological, environmental, behavioural and production data through sensors, IoT devices and management records. Raw information must be processed before it can support dependable analysis. This chapter explains data cleaning, missing-value treatment, noise reduction, anomaly detection, integration, normalization, transformation and dimensionality reduction. It also discusses feature extraction, categorical encoding, variable transformation and temporal-feature analysis. Machine learning, AutoML, Python, R and other analytical platforms are introduced as tools for preparing livestock datasets. Applications include disease prediction, yield improvement and movement monitoring. The chapter concludes by examining scalability, data quality, privacy and ethical challenges in intelligent livestock analytics.

Traditional livestock diagnosis is often reactive and may identify disease only after clinical symptoms become visible. This chapter introduces deep-learning methods for automated health monitoring, early disease detection and predictive analytics. Models analyse images, videos, body temperature, heart rate, activity patterns and historical health information. Convolutional neural networks extract visual features and classify diseases, while LSTM networks identify patterns in time-dependent physiological and behavioural data. Multimodal fusion improves the reliability of predictions by integrating different data sources. IoT-connected systems can generate real-time warnings and support timely intervention. The chapter compares deep learning with conventional approaches and evaluates accuracy, recall, false-negative rates and practical deployment.

Cloud computing and Edge AI provide complementary infrastructure for intelligent livestock management. Cloud platforms offer scalable storage, centralized analytics, model training and integration of data from sensors, cameras, automated feeders and farm-information systems. Edge AI processes information close to the farm, reducing latency, bandwidth consumption and response time. This chapter explains their architectures, workflows and applications in dairy, poultry, swine and small-ruminant production. Uses include disease detection, estrus prediction, behavioural monitoring, feeding and environmental control. Hybrid cloud-edge systems balance centralized intelligence with local autonomy. Challenges involving connectivity, interoperability, cybersecurity, cost, model reliability and ethical animal surveillance are also critically examined.

Decision Support Systems convert farm data into recommendations that improve livestock productivity, health and sustainability. This chapter explains data-driven, model-driven and knowledge-based systems and their principal components: data management, analytical models and user interfaces. Technologies such as IoT, artificial intelligence, machine learning and cloud computing support applications in feed optimization, disease prediction, reproductive management, milk production and animal-welfare monitoring. Dairy and poultry examples demonstrate how DSS can reduce operational costs and strengthen farm decisions. Implementation challenges include inadequate data quality, high costs, limited technical expertise and maintenance requirements. Future systems are expected to integrate blockchain, robotics, Edge AI and increasingly autonomous management technologies.

Artificial intelligence can detect subtle changes in animal health before they become apparent through conventional observation. This chapter examines machine learning, deep learning and predictive analytics for livestock disease prediction and diagnosis. Models use physiological signals, diagnostic images, behaviour patterns, environmental conditions and historical records to recognize abnormalities and estimate disease risk. Wearable sensors and IoT devices enable continuous monitoring and early-warning systems, supporting preventive veterinary care and outbreak management. AI-based detection can reduce mortality, treatment costs and production losses while improving decision-making. The chapter also evaluates challenges involving inconsistent data, model interpretability, rural infrastructure, technical accessibility and the practical implementation of diagnostic systems.

Precision feeding aims to supply animals with appropriate nutrients according to their changing physiological state, growth, production and environment. Conventional feeding plans are often static and may lead to waste, increased costs and environmental losses. This chapter introduces an AI-enabled framework integrating animal data, feed composition, growth characteristics and external factors. Regression, ensemble learning and other machine-learning models predict feed intake and weight gain, while linear programming and metaheuristic optimization generate efficient allocation plans. A decision-support system provides recommendations in real time. The approach can improve feed conversion, nutrient utilization, profitability and sustainability while reducing overfeeding, resource wastage and the environmental impact of livestock production.

Animal behaviour provides valuable information about health, welfare, reproduction, environmental adaptation and social interaction. Traditional observation is labour-intensive, time-consuming and vulnerable to observer bias. This chapter explains how machine learning automates behavioural analysis using video, sensor and bioacoustic data. It covers preprocessing, feature extraction, classification, clustering and recurrent neural networks for temporal analysis. Computer-vision techniques—including object detection, tracking and pose estimation—enable continuous and non-invasive monitoring. Case studies demonstrate applications in livestock management, wildlife conservation and laboratory research. The chapter also examines data labelling, model generalization, ethics, explainable AI, real-time processing and the integration of multiple behavioural data sources

Digital dairy farming integrates IoT, artificial intelligence, machine learning, big-data analytics, cloud computing, sensors and automation to improve herd management. This chapter explains how wearable devices and monitoring systems support early disease detection, welfare assessment, milk-yield analysis and precision feeding. Automated milking, feeding and other operations reduce manual labour, improve consistency and lower operating costs. The architecture of smart dairy systems—including sensors, wireless communication and decision algorithms—is examined alongside environmental and economic benefits. Barriers include high initial investment, limited digital skills, poor rural connectivity and cybersecurity risks. Future developments may include AI-enabled autonomous dairy farms and interconnected, sustainable agricultural ecosystems.

Genetic improvement creates permanent, heritable gains in milk production, growth, fertility, disease resistance and environmental adaptation. This chapter explains how artificial intelligence complements conventional phenotypic and pedigree-based selection by analysing large genomic and performance datasets. Machine-learning models reveal genotype-phenotype relationships, predict breeding values and support earlier, more reliable selection. Applications include genomic selection, precision breeding, reproductive technologies, bioinformatics and digital twins. AI can reduce generation intervals and improve the efficiency of breeding programmes, but its success depends on data quality, representative populations and interpretable models. Ethical concerns, genetic diversity and long-term sustainability must also be considered when designing AI-supported breeding systems.

Genetic improvement creates permanent, heritable gains in milk production, growth, fertility, disease resistance and environmental adaptation. This chapter explains how artificial intelligence complements conventional phenotypic and pedigree-based selection by analysing large genomic and performance datasets. Machine-learning models reveal genotype-phenotype relationships, predict breeding values and support earlier, more reliable selection. Applications include genomic selection, precision breeding, reproductive technologies, bioinformatics and digital twins. AI can reduce generation intervals and improve the efficiency of breeding programmes, but its success depends on data quality, representative populations and interpretable models. Ethical concerns, genetic diversity and long-term sustainability must also be considered when designing AI-supported breeding systems.

Robotics is transforming livestock production by automating repetitive, labour-intensive and precision-dependent operations. This chapter examines automated milking, robotic feeding, manure removal, health monitoring, drones and autonomous herd-management systems across dairy, poultry, swine and sheep production. Integration with AI, IoT and sensors creates connected environments capable of continuous monitoring and data-driven action. Benefits include higher productivity, lower labour requirements, timely animal care and more efficient resource use. Challenges include substantial investment, technical complexity, maintenance and farmer acceptance. Emerging developments such as autonomous farms, swarm robotics, solar-powered equipment and climate-smart robotic systems may further strengthen animal welfare, environmental sustainability and global food security.

Animal husbandry faces increasing pressure to produce safe milk, meat and eggs while improving animal welfare and reducing environmental impacts. Traditional observation-based management is increasingly inadequate for large and complex livestock systems. This chapter introduces digital transformation through Precision Livestock Farming, which combines IoT devices, smart sensors, wearables, computer vision, artificial intelligence, machine learning and digital twins. Continuous animal-centred data enables timely decisions concerning health, reproduction, feeding, behaviour and welfare. The chapter explains how digital technologies can support early disease detection, efficient resource use and improved productivity across commercial and smallholder farms, creating more profitable, sustainable and welfare-conscious livestock systems.

This chapter introduces soil testing as an essential component of scientific nutrient and land management. It traces the establishment and expansion of soil-testing laboratories in India and explains their role in assessing soil fertility, productivity and physical, chemical and biological conditions. Soil testing helps determine suitable fertilizer and amendment requirements while preventing the excessive or unbalanced application of nutrients. The chapter emphasizes that fertilizer recommendations must reflect differences among soils and fields. It also introduces representative soil sampling as the foundation of dependable laboratory results and outlines important precautions concerning equipment calibration, clean glassware, contamination prevention and safe laboratory practices.

This chapter explains how representative soil samples should be collected, labelled, transported and prepared for analysis. It identifies essential sampling equipment, including spades, khurpis, augers, trays, sampling bags, markers and polythene sheets. The recommended procedure involves dividing land into uniform sampling units, collecting soil from several well-distributed locations and combining these portions into a composite sample. The chapter describes V-shaped sampling cuts, suitable sampling depths and sample reduction through quartering. It also lists the field information that should accompany each sample. Procedures for air-drying, grinding, sieving and mixing samples are presented, together with precautions for avoiding unusual areas and contamination.

This chapter presents laboratory procedures for measuring the major physical properties that regulate soil behaviour, water availability, aeration and root development. It begins with particle-density determination using a pycnometer and proceeds to bulk density, soil texture, moisture content, total pore space, porosity and water-holding capacity. Each practical exercise provides the underlying principle, required apparatus, procedural steps, calculations and relevant precautions. The hydrometer method is introduced for estimating the proportions of sand, silt and clay. Methods for evaluating moisture retention and pore relationships are also described. Collectively, these measurements help characterize soil structure, compaction, drainage, water storage and its suitability for crop production.

This chapter describes methods for evaluating soil reaction, salinity, organic matter and plant-available nutrients. It begins with soil pH and electrical conductivity, explaining their importance in nutrient availability and the identification of acidic, saline or alkaline conditions. Procedures are then provided for estimating organic carbon, available nitrogen, phosphorus, potassium and sulphur. The chapter also covers calcium, magnesium and micronutrients, including zinc, iron, copper, manganese, boron and molybdenum. Every method identifies the necessary apparatus and reagents and explains extraction, colour development, instrumental measurement, calculation and interpretation. Particular attention is given to calibration, sample preparation, reagent quality, contamination control and laboratory safe

This chapter introduces plant analysis as a means of determining crop nutrient status and diagnosing nutritional deficiencies. It explains the selection of representative plant tissues at suitable stages of growth, followed by washing, drying, grinding, digestion and elemental estimation. Recommended tissues and sampling stages are provided for cereals, pulses, oilseeds, fibre crops, vegetables, ornamentals and fruit crops. Procedures are included for estimating nitrogen, phosphorus, potassium, sulphur, boron, zinc, iron, copper and manganese in plant samples. The chapter stresses that reliable interpretation depends on correct tissue selection, careful sampling and freedom from contamination. It thereby connects laboratory measurements with crop nutrition and fertilizer management.

This chapter introduces ergonomics as the science and practice of designing tools, systems and environments around human capabilities and limitations. It explains the meaning, significance and principal objectives of ergonomics, including safety, comfort, efficiency and human well-being. The historical development of the discipline is traced from early toolmaking and industrialization to contemporary human-centred design. Anthropometry is introduced as an essential basis for matching furniture, equipment and workplaces to different users. Examples from domestic life, education and professional settings demonstrate the practical relevance of ergonomic thinking. The chapter establishes human-centred design as the foundation for developing functional, safe and accessible solutions.

This chapter examines the human user as the central component of every ergonomic system. It considers physical, temporal, cognitive and affective characteristics that influence how individuals interact with tools, tasks and environments. Biomechanical principles—including force, posture, movement, balance, leverage and energy—are introduced to explain physical performance and injury risk. The musculoskeletal system and the effects of sustained or repetitive activity are discussed alongside differences in user strength and capability. Cognitive processes such as perception, attention, memory and decision-making are linked with emotions, mood and workplace satisfaction. Together, these dimensions demonstrate why effective ergonomic design must accommodate the complete physical and psychological experience of users.

This chapter explains how workplaces and equipment can be designed to improve functionality, comfort, safety and productivity. It presents fundamental principles for arranging work areas, selecting layouts and adapting workstations to the physical dimensions and capabilities of users. Work-simplification techniques, process charts, motion-economy principles and task-analysis methods are introduced as tools for eliminating unnecessary effort. The chapter also examines energy expenditure, worker comfort and environmental conditions such as lighting, temperature, humidity, ventilation, vibration and noise. Human–machine interfaces, controls and information displays are discussed to show how intuitive design can reduce errors. The overall emphasis is on fitting workplace systems to their users.

This chapter identifies the physical, environmental and psychosocial risk factors that can compromise worker health and performance. Repetitive movements, awkward postures, excessive force, static positions, contact stress, vibration, poor lighting and unsuitable temperatures are examined as common ergonomic hazards. Their consequences include musculoskeletal disorders, fatigue, reduced concentration, stress, absenteeism and chronic disability. The chapter introduces ergonomic risk-assessment methods and tools such as REBA, RULA and the NIOSH Lifting Equation. It also presents a hierarchy of control measures covering engineering redesign, administrative controls, safer work practices and protective equipment. Workplace examples demonstrate how systematic intervention can reduce injuries while improving productivity and employee satisfaction.

This chapter translates ergonomic principles into practical strategies for improving work and everyday activities. Applications are organized around physical, cognitive and organizational ergonomics, showing how each domain contributes to human performance and system effectiveness. Examples from manufacturing, offices, healthcare, agriculture and domestic settings illustrate the adaptation of workstations, tools, work schedules and environmental conditions. Anthropometric data, task observation and work-study methods are used to identify mismatches between users and systems. The chapter emphasizes participatory assessment and appropriate interventions for reducing physical strain, mental workload and occupational risk. It demonstrates that practical ergonomics can simultaneously improve worker safety, comfort, productivity, product quality and organizational efficiency.

This chapter explores how ergonomics is evolving in response to technological innovation, demographic change, globalization and sustainability. It traces the discipline’s progression from classical physical ergonomics to cognitive, organizational, integrated and smart ergonomics. Emerging applications of artificial intelligence, machine learning, robotics, wearable sensors, virtual systems and real-time data analytics are examined. The chapter also considers adaptive workspaces, human–robot collaboration, remote work and inclusive design for an ageing and increasingly diverse workforce. Future ergonomists are presented as strategic contributors to human–technology integration rather than only assessors of posture and physical risk. Ethical, economic and accessibility challenges accompanying technological transformation are also considered

This chapter examines the human body as an integrated working system governed by anatomical, physiological and biomechanical principles. It describes the roles of the musculoskeletal, nervous, cardiovascular, respiratory and metabolic systems in movement, strength, coordination and endurance. Muscle strength, joint range of motion, posture, flexibility and physical work capacity are discussed in relation to workplace demands. The chapter distinguishes static and dynamic work and explains how unsuitable loads or repetitive tasks contribute to fatigue and injury. Individual differences associated with age, fitness, body dimensions and physical capability are also considered. These concepts provide a scientific foundation for setting safe workloads and designing tasks around natural human limitations.

This chapter focuses on the ergonomic design of tools, machines and equipment used in occupational and domestic activities. It examines the human–tool interface and explains why equipment must reflect users’ anthropometric dimensions, biomechanics, cognitive capabilities and sensory requirements. Important design considerations include handle dimensions, grip comfort, wrist position, operating force, weight, balance, vibration and feedback. Adjustable features and alternative equipment sizes are presented as methods for accommodating user diversity. Examples from industrial, agricultural and domestic work show how ergonomic improvements can reduce fatigue, musculoskeletal strain and operational errors. The chapter also considers lightweight materials, mechanical assistance, automation and other technological innovations that improve safety and efficiency.

This chapter examines how people perceive, process and respond to information in technology-rich work environments. Cognitive ergonomics is introduced as the study of mental processes—including attention, memory, perception, reasoning and decision-making—in human-system interaction. The chapter explains how excessive mental workload, digital interruptions, poorly organized information and confusing interfaces can increase fatigue and errors. Principles for designing clear displays, intuitive controls, effective feedback and manageable information flows are presented. Particular attention is given to concentration, situational awareness, decision support and error prevention. The chapter demonstrates that modern workplaces must support both the physical body and the cognitive capacity of users to achieve safe, reliable and productive performance.

This chapter applies ergonomic principles to hospitals, clinics, laboratories and other healthcare environments. Healthcare personnel encounter demanding physical tasks, emotional pressures, complex decisions and extended working hours. Common risks include patient handling, repetitive movements, prolonged standing, awkward postures, mental overload and poorly designed workstations. The chapter considers physical ergonomics, workflow design, cognitive support and stress management as complementary approaches to improving healthcare delivery. Safe patient-transfer techniques, adjustable furniture, accessible equipment and logically arranged clinical spaces are discussed. By reducing fatigue and occupational injury, ergonomic interventions can improve staff health, job satisfaction, patient safety, clinical accuracy and organizational efficiency while decreasing absenteeism and employee turnover.

This chapter investigates the ergonomic design of transportation systems, including cars, buses, bicycles and other modes of mobility. It explains how seating, posture, visibility, controls, displays, vibration and environmental conditions shape the physical and cognitive experience of travel. Vehicle components should accommodate a wide range of body dimensions while maintaining neutral posture and convenient access to essential controls. Adjustable seating, lumbar support, suitable padding and appropriate joint angles are discussed as measures for reducing fatigue and spinal loading. The chapter also examines sensory feedback, information presentation and mobility-related technologies. Its central argument is that human-centred transportation design makes journeys safer, more comfortable, intuitive and accessible.

This chapter explores how ergonomic design influences learning, teaching and well-being in schools, colleges and universities. It examines classrooms, laboratories, libraries, study spaces and digital environments as integrated physical and cognitive systems. Appropriate furniture dimensions, adjustable seating, suitable desk heights, lighting, ventilation, acoustics and equipment placement can improve posture, concentration and participation. The chapter also considers anthropometric differences among learners of different ages and abilities. Technology must be incorporated without increasing visual fatigue, physical strain or cognitive overload. By combining human-centred spatial planning with flexible furniture and supportive environmental conditions, educational institutions can create safer, more inclusive and effective settings for both students and teachers.

This chapter connects human-centred ergonomic design with environmental sustainability. Traditional ergonomics seeks to improve safety, comfort and performance, while sustainable ergonomics also considers resource depletion, pollution, waste and climate change. The chapter explains how products, workplaces and systems can support human well-being while minimizing environmental harm. Its principal concerns include efficient use of materials and energy, durable and recyclable products, responsible manufacturing and reduced environmental footprints throughout the product lifecycle. The approach seeks a balance among people, planet and economic performance. By incorporating environmental consequences into ergonomic decisions, designers and policymakers can create workplaces that are simultaneously comfortable, productive, resource-conscious and beneficial to future generations.

Microbiology is the scientific study of microorganisms, including bacteria, fungi, algae, protozoa and viruses, and their interactions with plants, animals and the environment. Microorganisms are microscopic in size but have enormous importance in agriculture, food production, environmental management and biotechnology. In agricultural systems, microorganisms contribute to decomposition of organic residues, nutrient cycling, soil fertility, plant growth and suppression of harmful organisms. Beneficial microorganisms also form associations with plant roots and improve nutrient availability and plant health. At the same time, certain microorganisms cause plant diseases, food spoilage and environmental contamination. Agricultural microbiology applies the principles of general microbiology to understand these beneficial and harmful activities in farming systems. This chapter introduces the scope and importance of microbiology, major groups of microorganisms, basic laboratory concepts and their applications in agriculture. An understanding of microbial structure, metabolism, diversity and ecological functions provides the foundation for studying soil microbiology, plant–microbe interactions, biotechnology and environmental remediation.

Soil structure is highly important for maintaining favourable conditions for water movement, aeration, root development and crop production. In irrigated agriculture, inappropriate management practices can cause structural degradation through compression, puddling, compaction and crust formation. This chapter examines the major processes responsible for deterioration of soil structure and their effects on soil physical properties and crop performance. Soil compaction is discussed in relation to agricultural machinery, pressure distribution, formation of compacted layers and restrictions to root growth and water movement. The chapter also explains soil crusting, its mechanisms, effects on seedling emergence and methods for evaluating crust strength. Slow-permeable soils, including Regur soils, highly permeable soils and soils with shallow water tables are considered from a management perspective. Appropriate management practices are emphasized to restore permeability, improve soil structure and maintain favourable soil-water relationships. The chapter provides an integrated understanding of structural degradation and its management for sustainable irrigated agricultur

Soil chemical properties determine the availability, retention and movement of nutrients and strongly influence plant growth under irrigated conditions. This chapter introduces the fundamental chemical characteristics of soils, with particular emphasis on exchangeable bases, cation exchange and anion exchange. Cation exchange capacity (CEC) is discussed as an important indicator of the soil's capacity to retain and exchange nutrient cations. The chapter explains the principles and reactions involved in cation exchange, cation selectivity and the determination and expression of CEC. Relationships between CEC, soil pH and particle size are also considered, together with the concept of base saturation. These properties are important for understanding nutrient availability and fertilizer management in different soil types. The chapter further introduces the mechanism of nutrient uptake by plant roots, linking soil chemical reactions with plant nutrition. Understanding these processes provides an essential basis for managing soil fertility, improving nutrient-use efficiency and maintaining productive irrigated soils.

Soil organic matter is a key component of soil fertility, biological activity, aggregation and carbon storage. This chapter examines the origin, transformation and management of organic matter in agricultural soils, with particular attention to irrigated agroecosystems. It discusses the decomposition of organic matter under aerobic and anaerobic conditions and explains the major factors influencing decomposition rates. Microbial activity plays an important role in transforming organic materials and regulating nutrient cycling within the soil. The chapter introduces humus, humic substances and non-humic substances and explains interactions between clay and humus that influence soil properties. The relationship between soil organic matter and plant growth is also considered, highlighting its contribution to nutrient availability, soil structure and biological processes. Methods for maintaining soil organic matter and conserving soil carbon in agroecosystems are discussed along with factors controlling soil carbon levels. The chapter therefore establishes the importance of organic matter management for improving soil health, carbon conservation and the long-term sustainability of irrigated agricultural systems.

Water is one of the most important resources governing crop production in irrigated agriculture, and its behaviour within soil determines the availability of water to plants. This chapter presents the fundamental relationship between soil and water, beginning with the importance of soil water in crop production and the classification of soil water. Soil moisture constants and methods for measuring soil moisture content are discussed to explain the different forms and availability of water in the soil profile. The chapter introduces the potential concept of soil water and the components contributing to total soil water potential, including potential energy. Available water capacity is examined in relation to plant water supply, while capillarity and water retention explain how soil texture and pore characteristics influence water storage. The soil-water characteristic curve provides a basis for understanding changes in water content with soil-water potential. Soil-water hysteresis is also discussed to explain differences in wetting and drying behaviour. These concepts provide an essential foundation for efficient irrigation, crop water management and sustainable use of soil water resources

The movement of water through soil is fundamental to irrigation efficiency, drainage, nutrient transport and plant water availability. This chapter examines the principles governing water movement in both saturated and unsaturated soil conditions. It introduces the movement of water through the soil profile and discusses saturated hydraulic conductivity as an important parameter describing the ability of soil to transmit water. Water flow under unsaturated conditions is considered in greater detail, including the relationship between soil-water content and hydraulic conductivity. The chapter presents the equation for unsaturated flow and describes experimental approaches for studying water movement. Unsaturated hydraulic conductivity, represented as K(θ), provides an important basis for understanding the changing ability of soil to transmit water as soil moisture conditions vary. The chapter also considers prediction of soil-water flux, linking theoretical concepts with practical irrigation and soil-water management. Understanding water movement helps in determining irrigation requirements, reducing water losses, improving drainage and maintaining favourable soil-water conditions for crop growth.

The soil–plant relationship is central to crop productivity because soil conditions directly influence root development, water uptake, nutrient availability and plant growth. This chapter focuses particularly on the problems associated with salt-affected soils, including saline, sodic and acid soils. It explains the formation, distribution and characteristics of saline soils and describes the production constraints created by salinity stress. The effects of salinity on plant growth, evaluation of saline soils, reclamation and leaching are discussed together with leaching requirements and crop salt tolerance. Water and nutrient management strategies for saline soils, including the use of biofertilizers, are considered. Sodic soils are examined through their formation, characteristics, exchangeable sodium percentage (ESP) and sodium adsorption ratio (SAR), followed by reclamation practices and amendment use, particularly gypsum. The chapter also addresses acid soils, their formation, chemical characteristics, nutrient availability, plant-growth constraints and amelioration through liming. Calcareous soils and their management are also included, providing a comprehensive treatment of problematic soils affecting soil–plant interactions

Nitrogen is an essential plant nutrient and plays a particularly important role in intensively cultivated irrigated systems. This chapter examines nitrogen management in irrigated soils, where assured water availability and intensive cropping can increase nitrogen demand and create significant nutrient losses. The chapter begins with the functions of nitrogen and the forms in which nitrogen occurs in soil, including inorganic and organic forms. Mineralization and immobilization processes are discussed, along with factors affecting nitrogen mineralization and nitrogen transformations under waterlogged conditions. Major pathways of nitrogen loss, particularly volatilization, denitrification and leaching, are examined because they directly influence nitrogen-use efficiency and environmental quality. The chapter discusses different nitrogen fertilizers, including ammonium sulphate, ammonium chloride, ammonium nitrate and slow-release fertilizers. Nitrification inhibitors and strategies for efficient fertilizer use are also considered. Special attention is given to leaching of urea-N, nitrogen-use efficiency and nitrogen balance in the plant–soil system. The chapter therefore emphasizes balanced nitrogen management for sustaining productivity while reducing nutrient losses

Phosphorus is essential for plant growth and is involved in important physiological processes, but its availability in soil is strongly influenced by soil chemical conditions. This chapter provides a systematic treatment of phosphorus management in irrigated soils. It begins with the functions of phosphorus and the classification of soil phosphorus into organic and inorganic forms. The behaviour of phosphorus in alkali soils is discussed along with phosphate fixation, which can substantially influence phosphorus availability to crops. The chapter examines the sources of soil phosphorus used by plants and the major types of phosphatic fertilizers used in agricultural production. Available and total phosphorus are distinguished, providing a basis for assessing soil phosphorus status. The behaviour of phosphate fertilizers after application is considered in relation to their efficiency and crop uptake. The residual value of phosphatic fertilizers is also discussed, highlighting the continuing contribution of applied phosphorus to subsequent crops. Overall, the chapter emphasizes efficient phosphorus management to improve nutrient availability, fertilizer-use efficiency and sustainable crop production in irrigated soils.

Potassium is an important plant nutrient that influences water relations, carbohydrate and nitrogen metabolism, crop quality and resistance to environmental stresses. This chapter examines potassium behaviour and management in irrigated soils. It begins with the functions of potassium and explains the different forms in which potassium occurs in soil, including relatively unavailable, slowly available and readily available forms. Potassium fixation and release are discussed in relation to soil colloids, temperature, drying, soil pH and aeration. These processes determine the amount of potassium available for plant uptake and are particularly important in intensively cultivated irrigated soils. The chapter also considers luxury consumption and interactions between potassium and other elements. Potassium management is discussed through appropriate rates and methods of application and selection of suitable potassic fertilizers. The effects of potassium nutrition on plant behaviour, water utilization, carbohydrate and nitrogen metabolism, crop quality, disease resistance and low-temperature injury are highlighted. The chapter therefore provides a framework for maintaining potassium availability and preventing nutrient depletion in productive irrigated

Secondary nutrients are essential for balanced plant nutrition and sustained soil fertility in intensively cultivated irrigated systems. This chapter focuses on calcium, magnesium and sulphur, examining their sources, behaviour, availability and management in soil. Calcium is discussed in relation to its sources, fate in soil, crop removal, leaching and factors affecting its availability, including high sodium content, parent material and interactions with other cations. Calcium fertilizers and their practical importance are also considered. The chapter then examines magnesium, including its sources, behaviour in soil, uptake by crops, leaching and fertilizer management. Sulphur receives detailed attention through discussion of organic and inorganic forms, elemental sulphur and sulfides, sulphate behaviour and the different forms occurring in rice soils. Processes such as adsorption, leaching and immobilization influence sulphur availability and are therefore important under irrigated conditions. Practical aspects of sulphur management, sulphur-containing fertilizers and crop responses to sulphur fertilization are discussed, including effects on the nutritional quality of forages

Micronutrients are required in small quantities but are essential for normal plant growth and crop productivity. Their availability in irrigated soils can vary considerably because of changes in soil pH, moisture conditions, organic matter, texture and interactions with other nutrients. This chapter introduces the concepts of micronutrient deficiency and toxicity and discusses critical limits used for evaluating micronutrient status. Particular emphasis is placed on boron and zinc. Boron content, deficiency in Indian soils, availability and leaching are examined, together with the influence of soil texture, pH and moisture. Boron indicator plants, correction of deficiency, sources, crop response and frequency of application are also discussed. Interactions between boron and other nutrients receive attention. The chapter then considers zinc content and zinc deficiency in soils and examines the influence of pH, phosphate level, organic matter and adsorption by clay minerals on zinc availability. Methods, timing and rates of zinc application and crop responses are presented to support effective micronutrient management.

Successful irrigation development requires careful evaluation of soil and land characteristics before irrigation is introduced or expanded. This chapter deals with the principles and criteria used to evaluate land for irrigation and determine its suitability for sustained agricultural production. Important soil and land characteristics considered include surface-soil texture, particle-size class of the subsoil, coarse fragments, soil depth, permeability, salinity, exchangeable sodium percentage, slope and drainage. These factors determine the ability of land to store and transmit water, support root growth and withstand potential problems associated with irrigation. The chapter introduces land irrigability classification and explains the overall capability index (Ci), including its calculation and interpretation. Subclasses are considered to identify specific limitations affecting irrigated agriculture. The chapter further discusses land suitability classification and the structure used for assessing suitability. Physical condition of soil is included as an important component of land evaluation. By integrating soil, water and landscape characteristics, the chapter provides a systematic basis for identifying suitable land, recognizing limitations and planning sustainable irrigation development.

The quality of irrigation water has a direct influence on soil properties, crop growth and the long-term sustainability of irrigated agriculture. Water containing excessive salts or undesirable proportions of specific ions can create salinity, sodicity and other soil-related problems. This chapter presents the major criteria used for evaluating irrigation water quality. Salinity hazard is considered as an important indicator of the potential for salt accumulation in the soil and consequent restrictions on plant water uptake. Sodium hazard is examined because excessive sodium can adversely affect soil structure and permeability. The chapter also considers the salt index as a measure relevant to the evaluation of irrigation water. Bicarbonate hazard is discussed in relation to the chemical behaviour of irrigation water and its potential effects on soil conditions. Magnesium hazard is another important consideration in assessing the suitability of water for irrigation. By bringing these criteria together, the chapter provides a framework for evaluating irrigation water before application. Proper assessment of water quality is essential for selecting appropriate management practices and preventing long-term degradation of irrigated soils.

Increasing pressure on freshwater resources has created interest in the use of saline water for agricultural production, particularly where high-quality irrigation water is limited. This chapter examines the management possibilities associated with using saline water while addressing the risks of salinity to soil and crops. It focuses on the role of selected nutrients and soil amendments in improving crop performance under saline conditions. The roles of potassium and phosphorus are discussed in relation to plant nutrition and tolerance to salinity. Zinc is also considered for its importance in maintaining plant nutritional balance under saline conditions. The chapter further examines gypsum as an amendment and its role in managing saline soil conditions. Organic matter is discussed for its contribution to soil physical, chemical and biological properties, while biofertilizers are considered as a component of management under saline environments. The integrated use of nutrients, amendments, organic materials and biological inputs provides approaches for improving the productivity of saline soils. The chapter therefore links saline-water use with appropriate soil and nutrient management for sustainable crop production

Efficient irrigation water management is essential for achieving high crop productivity while conserving limited water resources and minimizing environmental hazards. This chapter presents the principles and practices required to manage irrigation according to crop demand and soil-water conditions. It begins with how plants obtain water from soil and explains irrigation requirements, crop water requirement terminology, water-use efficiency, field water balance and the effective root zone. Crop response to water at different growth stages is considered for important crops including rice, wheat, maize, sugarcane and mustard. Different irrigation methods are described, including surface, corrugation, sub-irrigation, sprinkler and drip irrigation. The chapter provides several approaches to irrigation scheduling based on water-holding capacity, degree of water depletion, soil-water potential, evaporation pans, leaf-water potential, canopy temperature, crop water stress index and leaf reflectance. Methods for measuring irrigation water and flowing water, including water-measuring devices and current meters, are also discussed. Scheduling based on IW/CPE ratio and depletion of available soil moisture provides practical approaches for improving water-use efficiency.

The soil–plant–water relationship integrates the major concepts of soil-water availability, root water uptake and plant transpiration into a unified system. Water movement through the soil and plant is governed by differences in water potential and by resistance within the water-conducting pathway. This chapter examines water uptake by roots and the process of transpiration, emphasizing the continuous movement of water from soil through the plant and ultimately to the atmosphere. Variations in water potential and water flux within the soil–plant system provide the basis for understanding how water is transported under different environmental and soil conditions. The resistance of the water-conducting system is considered as an important factor controlling water movement. The chapter separately discusses water movement through soil and within plants before connecting these processes with water movement from the leaf surface to the atmosphere. Control of transpiration is also examined, linking plant water relations with environmental conditions and crop water use. The chapter provides an integrated framework for understanding soil–plant–water interactions essential for efficient irrigation, crop productivity and sustainable management of water resources.

Large Language Models (LLMs) have emerged as one of the most significant developments in artificial intelligence, transforming the way machines understand, process and generate human language. Their evolution reflects a progression from rule-based systems and statistical language models to neural networks, word embeddings, recurrent architectures and, ultimately, Transformer-based models. This chapter provides a comprehensive overview of this evolution and explains the technological breakthroughs that enabled modern LLMs. It discusses early language modelling approaches, the transition from N-gram models to distributed representations, and the contribution of deep learning and attention mechanisms. The development of influential models such as BERT, GPT, T5, XLNet, PaLM and LLaMA is considered to illustrate increasing capabilities in language understanding and generation. The chapter also examines core LLM capabilities, including question answering, dialogue, summarization, translation and multimodal processing. Finally, it highlights challenges involving hallucination, computational requirements, privacy, bias and responsible deployment, while outlining opportunities for future intelligent and trustworthy AI systems.