eChapters

Onion growth, bulb initiation, yield, quality and storage life are strongly influenced by temperature, photoperiod, soil, moisture and crop establishment. Different cultivars require specific day lengths and temperature ranges, making regional variety selection and planting schedules essential. This chapter explains the environmental requirements of onion and the consequences of unsuitable conditions, including premature bolting, double bulbs, poor development and disease susceptibility. It examines soil preparation, planting geometry, direct seeding, transplanting and precision establishment. Modern approaches—including sensor-based environmental monitoring, Internet of Things systems, predictive modelling, precision seeding and machine-learning-supported input management—are presented as tools for improving uniformity, resource efficiency and climate adaptability.

Successful onion cultivation begins with vigorous, disease-free seedlings and their timely establishment in the field. Seed quality, nursery-bed preparation, growing medium, nutrition, irrigation, weed control and protection against pests and diseases determine seedling performance. This chapter explains conventional and modern nursery-management practices, including raised beds, plug trays, protected structures, soilless media, fertigation and climate-controlled production. It also discusses seedling selection, hardening, transplanting age, spacing and field establishment. Mechanized, robotic and precision transplanting systems are examined as solutions to labour shortages and uneven planting. Climate-resilient nurseries, sensors and automation can further improve transplant survival, resource efficiency, uniformity, productivity and sustainability.

The productivity of onion is closely associated with the availability of genetically pure, healthy and high-germinating seed. Farmers often face shortages of certified seed, rapid loss of seed viability and inconsistent quality within informal supply systems. Onion seed production is technically demanding because the crop is biennial, highly cross-pollinated and sensitive to environmental conditions. This chapter discusses floral biology, climatic requirements, selection of true-to-type bulbs, isolation, seed-to-seed and bulb-to-seed production methods, pollination, harvesting, processing, testing and storage. It emphasizes quality enhancement, organized seed systems and participation of trained growers and private agencies in expanding reliable seed availability and improving economic returns.

Onion is an economically significant bulb crop cultivated across diverse agroecological environments. Its cultivars vary considerably in bulb size, shape, colour, pungency, maturity, storage behaviour and photoperiod response. Understanding its vegetative and reproductive morphology, growth habit, physiology and taxonomic relationships is fundamental to crop improvement and germplasm conservation. This chapter examines the botanical features and taxonomic position of onion within the genus Allium. It explains relationships among cultivated types, landraces and allied species and discusses varietal classification according to climatic adaptation and consumer preference. Classical characterization and molecular taxonomy are considered important tools for developing productive, resilient and market-preferred onion cultivars.

Onion (Allium cepa L.) is one of the oldest and most widely cultivated vegetable crops, with a history of domestication extending over five thousand years. Valued for its culinary, medicinal, nutritional and cultural importance, it has travelled across continents through migration, trade and agricultural exchange. Its broad ecological adaptability has enabled cultivation in temperate, subtropical and tropical regions. The chapter examines probable centres of origin, historical evidence of cultivation, domestication and geographical dispersal. It also explains onion’s nutritional and therapeutic significance, global production status, genetic diversification and role in human civilization, providing a historical foundation for understanding modern onion improvement and cultivation.

Flood-control economics compares the financial, social, and environmental costs of flood damage with the costs and benefits of alternative mitigation measures. Because complete protection is generally impractical, planners must identify an economically justified level of risk reduction. Evaluation considers construction, operation, maintenance, rehabilitation, residual risk, avoided losses, project life, discount rates, and direct and indirect benefits. This chapter introduces economic assessment of flood-control projects and examines flood-damage estimation, depth-damage relationships, benefit-cost analysis, present value, and investment decision criteria. It also considers remote-sensing approaches for mapping inundation and assessing losses. The discussion supports the selection of measures that are technically feasible, socially acceptable, environmentally responsible, and economically efficient.

Flood management is a continuing process of assessing flood risk and coordinating prevention, preparedness, response, recovery, and adaptation. Unlike flood control, which often emphasizes physical structures, integrated flood management accepts that floods cannot always be eliminated and seeks to balance their risks and beneficial functions. It protects life and property while considering river-basin development, environmental sustainability, social needs, and economic feasibility. This chapter explains flood-management concepts, objectives, purposes, and techniques. It discusses structural and non-structural actions, forecasting, watershed treatment, afforestation, rainwater harvesting, floodplain zoning, community preparedness, institutional responsibilities, interlinking proposals, and government programmes. Emphasis is placed on coordinated, basin-wide and risk-informed decision-making.

Flood-control measures aim to reduce the probability of inundation or limit its harmful consequences. Structural measures physically modify water flow or storage and include dams, reservoirs, levees, floodwalls, diversions, channel improvements, detention basins, and watershed-treatment structures. Non-structural measures reduce exposure and vulnerability through forecasting, warnings, zoning, insurance, preparedness, evacuation, public education, land-use control, and disaster-response planning. This chapter classifies and evaluates both groups of measures, explaining their purposes, benefits, limitations, and selection criteria. It emphasizes that no individual intervention provides complete protection. Effective flood-risk reduction normally requires an integrated combination of structures, sound watershed management, reliable information systems, institutional coordination, and community participation.

Flood routing predicts how a flood hydrograph changes as it passes through a river reach or reservoir. Storage, channel geometry, friction, inflow distribution, and outlet conditions generally reduce, delay, or otherwise modify the flood peak. Routing results help forecast downstream water levels, determine reservoir releases, design spillways and channels, issue warnings, and evaluate flood-control alternatives. This chapter introduces the continuity and storage principles underlying flood routing and distinguishes reservoir routing from channel routing. It discusses hydrologic and hydraulic approaches, including level-pool, Muskingum, and related techniques. Attention is also given to inflow and outflow hydrographs, routing coefficients, travel time, attenuation, data requirements, assumptions, calculations, and practical engineering applications.

Flood diversion redirects part or all of an excessive flow away from a vulnerable river reach, settlement, or agricultural area. Water may be conveyed through diversion channels, floodways, canals, tunnels, spillways, or natural depressions and discharged into another river, reservoir, wetland, or safe storage area. A diversion scheme must have sufficient capacity and a dependable control structure while avoiding unacceptable flooding, erosion, sediment deposition, or environmental damage elsewhere. This chapter explains the purpose, principles, and methods of flood diversion. It covers site selection, diversion routes, hydraulic and structural components, design discharge, operational requirements, advantages, limitations, maintenance needs, and the role of diversions within integrated basin-level flood-control planning.

River-training works guide and regulate the flow of a river to achieve a stable channel alignment, protect banks, improve navigation, prevent erosion, and reduce flood damage. Rivers naturally change their course through sediment deposition, bank cutting, meandering, and variations in discharge. Engineering interventions must therefore account for hydraulic forces, sediment movement, channel morphology, and long-term river behaviour. This chapter defines river training and explains its objectives, benefits, limitations, and key design principles. It discusses guide banks, groynes or spurs, embankments, revetments, pitching, launching aprons, cut-offs, and related protective works. It also considers structural placement, classification, construction materials, maintenance, and environmental consequences.

Channel improvement increases or restores the ability of a river or drainage channel to convey floodwater safely. Natural or artificial channels may lose capacity because of sediment deposition, vegetation, debris, bank encroachment, irregular alignment, insufficient cross-sectional area, or excessive hydraulic resistance. Improvement can involve widening, deepening, straightening, clearing, lining, dredging, bank stabilization, or constructing additional waterways. This chapter discusses the purposes, advantages, disadvantages, and planning principles of channel improvement. It examines channel geometry, flow resistance, permissible velocity, sediment behaviour, erosion protection, and maintenance. The chapter also emphasizes that interventions must be evaluated carefully because poorly planned modifications can accelerate flow, destabilize banks, damage habitats, or shift flooding downstream.

A detention reservoir temporarily stores storm runoff and releases it gradually at a controlled rate, thereby reducing the peak discharge reaching downstream channels and communities. Unlike a conventional conservation reservoir, its principal function is short-term flood moderation rather than permanent water storage. Its performance depends on basin capacity, inlet and outlet arrangements, catchment response, design storm, allowable downstream discharge, and available drawdown time. This chapter explains the concept, purposes, and functioning of detention reservoirs and distinguishes them from ordinary storage reservoirs. It covers their classifications, site requirements, storage estimation, outlet design, routing principles, benefits, limitations, maintenance, and application in rural watersheds, urban drainage systems, and integrated flood-control programmes.

A levee is an elongated embankment constructed along a river, stream, or floodplain boundary to prevent floodwater from entering protected land. Levees can safeguard settlements, agricultural fields, industries, roads, and public infrastructure, but they do not eliminate flooding and may transfer risk downstream or cause severe damage if overtopped or breached. Their design depends on expected flood level, freeboard, soil properties, seepage conditions, foundation stability, alignment, and available construction materials. This chapter explains levee functions, classifications, advantages, limitations, and structural components. It also addresses seepage control, slope protection, erosion, settlement, failure mechanisms, inspection, maintenance, and the importance of combining levees with forecasting and evacuation planning.

A reservoir stores water behind a dam and can reduce downstream flooding by temporarily retaining part of the incoming flood volume. Its effectiveness depends on available storage, inflow characteristics, outlet capacity, operating rules, forecasting information, and the timing of releases. Reservoirs may also serve irrigation, municipal supply, hydropower, navigation, recreation, and environmental purposes, making their planning a multipurpose undertaking. This chapter introduces reservoir terminology, classifications, storage zones, capacity determination, site selection, sedimentation, and operating principles. It explains how flood-storage space modifies peak discharge and discusses reservoir routing, release regulation, design limitations, safety considerations, and the role of coordinated reservoir systems in basin-wide flood management.

Seepage is the movement of water through the soil body and foundation of a hydraulic structure. In an earthen dam, uncontrolled seepage may produce excessive water loss, high pore-water pressure, slope instability, internal erosion, piping, or complete structural failure. Seepage analysis therefore determines the quantity and path of water movement and helps engineers design filters, drains, impervious cores, cut-offs, and other protective components. This chapter explains the objectives and importance of seepage analysis, Darcy’s law, permeability, seepage velocity, phreatic lines, flow nets, equipotential lines, and flow channels. It also examines seepage forces, piping conditions, exit gradients, and methods for improving dam safety.

Designing an earthen dam requires the coordinated evaluation of catchment runoff, reservoir capacity, site conditions, foundation properties, expected service life, and the consequences of failure. A selected return period is used to estimate extreme rainfall and runoff, while adequate spillway capacity and freeboard protect the embankment against overtopping. The dam must possess low permeability, stable upstream and downstream slopes, and sufficient resistance to seepage, settlement, erosion, and earthquake forces. This chapter presents design criteria, top width, dam height, side slopes, freeboard, seepage-control components, slope-protection measures, and stability considerations. It also explains procedures needed to create a safe, economical, and functional embankment.

An earthen dam is an embankment constructed primarily from compacted soil to impound runoff and create a reservoir. Such dams support irrigation, water supply, groundwater recharge, hydropower generation, and flood moderation. Their successful performance depends on suitable site conditions, proper materials, adequate compaction, controlled seepage, stable slopes, and safe disposal of surplus water. This chapter introduces the advantages and limitations of earthen dams, construction materials, types of embankment sections, and their principal components. Particular attention is given to cut-offs, impervious cores, casing or shells, foundations, filters, drainage systems, spillways, outlets, slope protection, and common causes of deterioration or structural failure.

Gullies convey runoff and sediment from upstream catchments, but uncontrolled flow enlarges their beds and banks, removes productive land, and may ultimately create ravines. Their development depends on rainfall intensity, runoff volume, catchment size, land use, soil properties, topography, and channel characteristics. Effective treatment requires reducing runoff generation, diverting excess water where appropriate, stabilizing the gully, and restoring vegetation. This chapter presents the principles of gully control and classifies interventions into upstream and downstream measures. It discusses agronomic practices, diversion structures, check dams, drop structures, chute spillways, bank protection, revegetation, and maintenance requirements for safely controlling water velocity, erosion, and sediment transport.

Flooding and soil erosion are closely connected because concentrated runoff detaches, transports, and deposits soil material throughout a watershed and river system. Raindrop impact initiates splash erosion, while surface flow produces sheet, rill, and eventually gully erosion. Sediment generated from fields and channels reduces reservoir capacity, raises riverbeds, obstructs drainage, and lowers channel conveyance, thereby increasing flood risk. This chapter explains erosion mechanisms, classifications, influencing factors, gully development, sediment yield, sediment-delivery ratio, suspended and bed loads, and sediment-transport models. It also examines soil-loss estimation and agronomic or structural conservation measures that can reduce erosion, control sediment movement, and improve watershed-level flood management

Flood estimation determines the probable magnitude and frequency of flood events for designing hydraulic structures and managing flood risk. Intense rainfall over a catchment generates excess water after interception, infiltration, evaporation, and depression storage have been satisfied. This runoff reaches the drainage system and may cause flooding when channel capacity is inadequate. Reliable estimates help engineers select suitable dimensions for dams, spillways, bridges, culverts, reservoirs, and other protective works. This chapter describes rainfall-based and streamflow-based estimation techniques, including the Rational and Cook’s methods, unit-hydrograph procedures, frequency distributions, Gumbel, log-normal and Log-Pearson Type III analyses, empirical formulae, flow-mass curves, and partial-duration series.

Rainfall, runoff, evaporation, and other hydrological variables exhibit considerable natural uncertainty and therefore cannot be treated as entirely deterministic phenomena. Statistical and probability methods make it possible to organize observations, describe their variability, identify relationships, estimate extreme events, and predict values associated with selected probabilities. Hydrological data may be analysed daily, weekly, monthly, seasonally, or annually and expressed through averages, maxima, minima, dispersion, skewness, and frequency. This chapter introduces statistical terminology, correlation, regression, probability distributions, plotting positions, goodness-of-fit tests, model-evaluation tools, reliability, standard error, and risk analysis. These techniques are essential for flood-frequency analysis, planning, and hydraulic design.

Hydrology examines the occurrence, circulation, distribution, and properties of water in the atmosphere and on Earth. Solar energy drives the hydrologic cycle through evaporation, condensation, precipitation, infiltration, runoff, and groundwater movement. Rainfall first satisfies interception, depression storage, evaporation, and infiltration before excess water begins flowing across the surface and into channels. When runoff entering a river exceeds its conveyance capacity, flooding may occur. This chapter explains clouds, precipitation measurement, rain-gauge networks, rainfall consistency, infiltration, runoff mechanisms, hydrographs, unit hydrographs, empirical runoff models, and stage-discharge relationships. These concepts provide the scientific foundation required for analysing floods and designing appropriate control measures.

A flood occurs when water exceeds the carrying capacity of a river, stream, drain, gully, or another natural or artificial channel and spreads over adjoining land. Its severity depends on water volume, depth, velocity, duration, timing, and the vulnerability of affected communities. Prolonged inundation can severely damage crops, property, infrastructure, water supplies, and human and animal life. Night-time floods may be particularly dangerous because warnings and evacuation become difficult. This chapter introduces flood occurrence and mechanisms, India’s and the world’s flood history, flood-prone regions, flood types and causes, major consequences, and the responsibilities of Indian flood-control and forecasting agencies.

Climate change is altering insect-pest development, reproduction, feeding, survival, distribution, host preference and interactions with natural enemies. These shifts may make conventional control measures and existing integrated pest-management programmes less reliable. Climate-resilient IPM must therefore combine continuous pest surveillance, forecasting, biological control, resistant cultivars, cultural practices, habitat management and the careful use of pesticides. Management decisions should account for changing pest phenology, emerging invasive species and regional climate risks. This chapter examines how climate change affects established IPM components and proposes adaptive, knowledge-based approaches for sustainable pest suppression, reduced pesticide dependence, ecosystem protection and long-term food security.

Soil supports diverse arthropod communities, including insects, mites, springtails, spiders, millipedes and centipedes. These organisms contribute to decomposition, nutrient cycling, soil formation, microbial regulation and food-web stability. Their activities improve soil fertility, structure and overall ecosystem functioning. However, soil arthropods are highly responsive to temperature, moisture, vegetation and other environmental factors. Global warming, altered rainfall, drought and changes in soil properties can modify their diversity, abundance, distribution and ecological interactions. Despite their importance, climate-change effects on soil arthropods remain comparatively understudied. This chapter examines their ecological roles, relationships with soil properties and responses to changing climatic conditions in agricultural ecosystems.

Insect pollinators are essential for the reproduction of most flowering plants and contribute substantially to global crop production and food security. Bees, butterflies, moths, flies, beetles and other insects transfer pollen and support fruit and seed formation. Climate change can influence their physiology, development, activity, foraging, migration, distribution and seasonal emergence. It may also create mismatches between flowering periods and pollinator activity, reducing pollination efficiency. Drought, extreme heat, habitat loss and changes in floral resources further threaten pollinator diversity and abundance. This chapter examines the direct and indirect effects of climate change on insect pollinators and discusses conservation and management measures

Entomopathogens are microorganisms that infect and kill insects, mites and other arthropods and are widely employed in biological control and integrated pest management. They include bacteria, fungi, viruses and entomopathogenic nematodes. Their effectiveness depends greatly on temperature, humidity, solar radiation, rainfall and interactions among the host, pathogen and environment. Climate change can alter pest populations as well as pathogen survival, infectivity, multiplication and field persistence. These effects may enhance some microbial-control agents while reducing the effectiveness of others. This chapter introduces major groups of entomopathogens and examines their performance under present and projected climatic conditions, emphasizing their importance in environmentally responsible pest management.

Predatory arthropods provide valuable ecosystem services by suppressing agricultural pests and maintaining ecological balance. Important predators include ladybird beetles, lacewings, predatory bugs, spiders, mites and other groups that consume harmful insects at different developmental stages. Their small body size and ectothermic nature make them sensitive to changing temperature and moisture regimes. Global warming can affect their metabolism, development, body size, fecundity, longevity, dispersal and geographical distribution. Climate change may also disrupt temporal and spatial relationships between predators and their prey. This chapter examines the effects of climatic changes on predatory arthropods and their continuing role in natural and applied biological control.

Parasitoids are important natural enemies that regulate insect-pest populations and reduce dependence on chemical pesticides. They lay eggs in or on host insects, and their developing offspring eventually kill the hosts. Rising temperatures, altered rainfall, elevated carbon dioxide and extreme weather can affect parasitoid survival, development, reproduction, host-searching ability, distribution and seasonal activity. Climate change may also disturb synchronization between parasitoids and their hosts, thereby reducing the effectiveness of natural biological control. This chapter examines how changing climatic conditions influence parasitoid diversity, abundance and pest-suppression services. It also highlights management approaches for conserving and strengthening parasitoid populations in agricultural ecosystems.

Climate change is increasing the likelihood that invasive insects will establish, spread and cause economic damage in new geographical regions. Invasive species commonly possess high reproductive capacity, broad host ranges, environmental tolerance, ecological adaptability and competitive advantages. Rising temperatures and changing humidity and rainfall patterns can create favourable habitats beyond their traditional ranges. Extreme weather and global trade may further support their movement and establishment. Once introduced, invasive insects can compete with native species, disrupt ecosystems and cause serious crop losses. This chapter examines the relationship between climate change and invasive insect pests and emphasizes early detection, quarantine, surveillance, forecasting and coordinated management.

Mites are economically important pests of agricultural and horticultural crops whose development and population dynamics are strongly influenced by environmental conditions. Rising temperatures, drought, reduced humidity and altered rainfall can accelerate mite reproduction, shorten generation time and increase infestation severity. Climate change may expand the geographical range of damaging species, alter host suitability and disturb interactions with predatory mites and other natural enemies. Increased pesticide use following outbreaks may further disrupt biological control and encourage resistance. This chapter examines climate-related changes in mite biology, distribution and pest status and presents adaptive management strategies involving surveillance, resistant cultivars, biological control and integrated pest-management practices.

Plant-parasitic nematodes are important soil-borne pests that reduce crop productivity by feeding on roots and interfering with water and nutrient absorption. Temperature, soil moisture, rainfall, carbon dioxide and host-plant conditions influence their development, reproduction, survival and geographical distribution. Climate change may allow certain nematode species to expand into new regions, complete additional generations and cause greater crop damage. Drought, flooding and altered soil conditions may also modify interactions among nematodes, plants, microorganisms and natural enemies. This chapter examines the likely effects of climate change on important plant-parasitic nematodes and discusses monitoring, forecasting and adaptive management approaches for climate-resilient crop protection.

Stored-product insects damage grains, cereals, pulses and other commodities, causing quantitative losses and deterioration in food quality and nutritional value. Climate change influences temperature and humidity within storage environments, directly affecting insect development, reproduction, survival and population growth. Warmer conditions may shorten life cycles, increase the number of generations and expand the distribution of important storage pests. Poor storage structures and inadequate pest management further increase these risks, particularly in developing countries. This chapter examines the influence of changing climatic conditions on stored-product pests and emphasizes improved storage design, monitoring, sanitation and climate-adaptive management practices for protecting stored food and maintaining food security.

Forests support diverse insect communities that contribute to pollination, decomposition, nutrient cycling and other ecological processes. Certain insects, however, become destructive pests when environmental changes weaken natural regulation and favour population outbreaks. Increasing temperature, altered precipitation, drought and land-use change can affect insect development, reproduction, survival and geographical range. Climate change may also disrupt synchronization between forest trees and associated insects, intensify native-pest outbreaks and facilitate the establishment of invasive species. Such changes can reduce tree growth, increase mortality and transform forest landscapes. This chapter examines climate-related forest-pest dynamics, ecological consequences and mitigation strategies for strengthening forest health and resilience.

Climate change affects horticultural crops through rising temperatures, irregular rainfall, extreme weather, altered carbon dioxide levels and changes in seasonal patterns. These conditions influence plant growth, flowering, fruit development, nutritional quality and geographical suitability. They also alter the development, survival, reproduction and distribution of horticultural insect pests. Warmer conditions may accelerate insect life cycles, increase the number of generations and intensify crop infestations. Changes in rainfall can either suppress pest activity or create favourable conditions for outbreaks. This chapter examines interactions among climate, horticultural crops and insect pests and highlights the need for proactive monitoring and climate-adaptive pest-management strategies to safeguard horticultural production.

Climate and weather strongly influence annual fluctuations in agricultural insect-pest populations. As ectothermic organisms, insects respond rapidly to variations in temperature, humidity, rainfall and wind. Climate change can modify their development, survival, reproduction, adaptation and geographical distribution. It may increase the number of generations, improve overwintering survival, alter host synchronization, encourage invasive species and reduce the effectiveness of natural enemies and existing control methods. Indirect effects also occur through changes in host-plant growth, resistance and nutritional quality. This chapter examines the responses of important agricultural insect pests to changing climatic conditions and discusses their implications for crop productivity and sustainable pest management.

Climate change produces long-term alterations in temperature, precipitation, wind and atmospheric carbon dioxide. Because insects are ectothermic organisms, these environmental changes strongly influence their physiology, ecology and behaviour. Rising temperatures can modify development, movement, feeding, mating, reproduction, diapause, migration and survival. Altered rainfall and extreme weather may affect habitat suitability, host availability and interactions with natural enemies. Climate-related behavioural changes can influence pest abundance, crop damage, geographical distribution and the timing of infestations. This chapter examines how insects respond behaviourally to changing environmental conditions and explains why understanding these responses is essential for forecasting pest outbreaks and developing effective climate-resilient crop-protection strategies.

Growing food demand requires increased agricultural productivity, but climate change poses serious challenges to crop protection and food security. Rising temperatures, elevated carbon dioxide, altered precipitation, droughts, floods and extreme weather events directly affect crops and indirectly influence pests, pathogens and their natural enemies. Changes in climatic conditions can alter insect development, survival, reproduction, seasonal activity, geographical distribution and pest status. They may also disrupt host–pest relationships, encourage invasive species and contribute to the decline or displacement of existing species. This chapter examines climate-induced changes in crop-pest scenarios and emphasizes the importance of monitoring, forecasting and adaptive pest-management strategies for protecting agricultural production.

Horticultural crops include fruits, vegetables, flowers, plantation crops, spices, aromatic plants and medicinal species. They contribute substantially to nutrition, farm income, employment, exports and livelihood security. However, their productivity and quality are highly sensitive to temperature, rainfall, humidity, drought, flooding, salinity and other climate-related stresses. Changing climatic conditions affect flowering, fruit setting, maturity, nutritional composition, pest incidence and postharvest quality. Annual and perennial crops respond differently depending on their location, growth stage and environmental requirements. This chapter examines the influence of major climatic factors on horticultural production and discusses adaptive practices required to maintain productivity, quality and economic sustainability under changing environmental conditions.

Climate refers to the long-term pattern of temperature, rainfall, humidity, wind and other weather parameters within a geographical region. Human activities such as industrialization, urbanization, deforestation, land-use change and intensive agriculture have accelerated climate change by increasing greenhouse-gas emissions. Rising temperatures, irregular monsoon rainfall, droughts, floods, cyclones and elevated atmospheric carbon dioxide now affect crop growth, development and productivity. Different crops and developmental stages vary in their tolerance to these stresses. Consequently, farmers are modifying cropping patterns, sowing periods and crop choices. This chapter examines the effects of changing climatic conditions on major agricultural crops and identifies suitable adaptation and mitigation measures.

Computational intelligence is central to the development of proactive, personalized and connected healthcare systems. This chapter examines artificial intelligence, machine learning, expert systems, medical-image analysis, IoT, big-data analytics, cloud computing and blockchain as key enabling technologies. It presents intelligent architectures for diagnosis, monitoring, treatment support and secure health-data management. Privacy, cybersecurity, explainability, bias, fairness, scalability and deployment challenges are discussed in relation to practical healthcare implementation. The chapter proposes a research roadmap involving trustworthy AI, advanced privacy-preserving mechanisms, edge-cloud intelligence, digital twins, multi-omics integration and personalized health models. It also emphasizes accessible computational-intelligence solutions for rural and resource-constrained healthcare environments

Intelligent healthcare is advancing through the integration of multimodal data, trustworthy AI, federated learning, digital twins, IoT devices and real-time decision-support systems. This chapter reviews the evolution of healthcare-data analysis and examines emerging methods for intelligent diagnosis and predictive care. It discusses explainability, privacy-preserving analytics, interoperability, data governance and ethical frameworks necessary for responsible implementation. Wearable technologies and connected sensors support continuous monitoring, while human–AI collaboration improves clinical decision-making. Case studies illustrate practical healthcare applications and implementation strategies. The chapter also considers global-health requirements, particularly in developing countries, and identifies future opportunities for scalable, equitable, secure and clinically effective intelligent healthcare systems.

Healthcare organizations require collaborative learning methods that protect sensitive patient information. This chapter introduces federated learning as a framework for training models across decentralized institutions without transferring raw clinical data. Horizontal, vertical and hybrid federated architectures are examined alongside communication protocols, threat models and security requirements. Privacy-enhancing methods—including differential privacy, secure aggregation, cryptographic techniques and trusted execution environments—are discussed. Applications in medical imaging, electronic health-record analysis, wearable devices and remote patient monitoring demonstrate the framework’s practical value. The chapter also evaluates accuracy, privacy, communication cost, scalability and robustness while addressing data heterogeneity, fairness, explainability, legal compliance and ethical challenges in collaborative healthcare analytics.

Data-centric artificial intelligence has transformed medical imaging, clinical prediction and electronic health-record analysis, but purely data-driven models face limitations involving generalization, bias, privacy and interpretability. This chapter examines the transition toward knowledge-aware and hybrid healthcare systems that combine machine learning with clinical knowledge, ontologies and knowledge graphs. It discusses explainable AI, clinical reasoning and the integration of structured knowledge into intelligent decision support. Applications include acute-care support, precision medicine, genomic oncology and population-health management. Ethical issues, regulatory compliance, fairness and privacy-preserving technologies are also considered. Future directions include quantum computing, large language models, multimodal integration and equity-focused healthcare-system development.

Predictive analytics estimates future health risks and outcomes, while prescriptive analytics recommends appropriate interventions and resource-allocation strategies. This chapter explains how statistical models, machine learning and healthcare data can support disease-risk assessment, prognosis and personalized treatment. Applications involving cardiovascular disease, diabetes, cancer, chronic-disease management and early-warning systems are examined. The integration of clinical, genomic, lifestyle and electronic health-record data is discussed alongside survival analysis, disease-progression modelling and treatment-response prediction. The chapter also addresses bias, fairness, transparency, privacy, regulation and interoperability. Future developments involving real-time analytics, IoT-enabled monitoring and precision medicine illustrate the transition toward proactive, preventive and data-driven healthcare.

Electronic health records contain extensive clinical, demographic, diagnostic and treatment information that can support medical research and decision-making. This chapter examines the characteristics of healthcare big data and the challenges associated with EHR storage, integration, quality and analysis. It presents an analytics pipeline covering data ingestion, secure storage, preprocessing, integration, pattern discovery, visualization and clinical decision support. Machine learning and deep learning methods are discussed in relation to clinical phenotyping, risk stratification, predictive epidemiology and adverse-outcome prediction. The chapter also addresses data privacy, governance, regulatory compliance, explainability, scalability and bias, highlighting the need for secure and interoperable EHR-mining systems that generate clinically useful knowledge.

Symbolic systems provide logical reasoning and explicit knowledge representation, whereas sub-symbolic models offer learning, adaptation and pattern-recognition capabilities. This chapter explains how combining these approaches can create more accurate, adaptive and interpretable intelligent systems. It discusses rule-based systems, logic programming, ontologies, neural networks, fuzzy systems, evolutionary computation and swarm intelligence. Neural-symbolic, neuro-fuzzy, rule-augmented and ontology-aware architectures are examined, along with loose, tight and deep integration strategies. Applications in healthcare, cybersecurity, manufacturing and knowledge-based information systems demonstrate their practical potential. Challenges involving integration complexity, scalability, knowledge engineering, transparency and continuous updating are considered, together with future directions in human-centred hybrid intelligence.