eChapters

This chapter integrates case studies, scientific examples, and policy perspectives to illustrate how AI and ML can transform agricultural weather intelligence. The discussion spans from advanced predictive models in developed nations to emerging applications in technology-limited regions, while also addressing the urgent need for resilient crisis management systems in the face of natural and human-caused conditions. Advanced scientific techniques can not only optimize food production and resource management but also play a critical role in recovery efforts during times of crisis. Agriculture is intrinsically linked to the natural world—a domain defined by fluctuating weather patterns, seasonal shifts, and unpredictable environmental factors. Today, Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing how we analyze and predict weather patterns, and their applications in agriculture are far-reaching (Fig. 5.1). From forecasting crop yields and fishery conditions to managing plantations and monitoring livestock health, these technologies are creating a paradigm shift in agricultural weather intelligence. Scientific organizations worldwide are leveraging AI and ML to refine predictive models, enable multi-variate analysis, and provide advanced warning systems for extreme events such as droughts, tsunamis, earthquakes, and even crises caused by human-made conflicts. Emerging nations with rapidly growing technological capabilities stand to benefit immensely from these innovations, tailoring solutions to local challenges while contributing to global food security and crisis resilience.

Introduction
 
Arid western part of Rajasthan which contains the Indian segment of the Thar Desert, accounts for ~62% of the country’s hot arid area and is a region of low rainfall. Under such physico-climatic situation, fluvial processes function much less frequently and more episodically than the aeolian processes, but their impacts on landforms and society are large, as noticed on several occasions in arid regions. There is a distinct east-west gradient of rainfall and temperature in the region. Along the eastern margin bordering Aravallies, the mean annual rainfall is 500 mm while in the westernmost part at Jaisalmer, it is less than 150 mm. The rainfall is largely monsoon driven which brings 80 - 90 per cent of total rainfall received during the year. There is large inter-annual rainfall variability of rainfall which leads to climatic extremes of drought and floods of different magnitudes. For example on an average, the Thar Desert in India experiences flood-causing rainfall in 2-3 years in a decade, but a maximum of 5 flood causing rainfall years in a decade was recorded during the 1950s, 1970s and the 1990s (Rao et al. 2006).

Introduction

In livestock production system, it is traditional to feed cereals, cakes and meals in the ration. With increase in human population and urbanization the area under fodder or cereal production cannot be increased. There is a huge gap between demand and supply of all kinds of feeds and fodders. Also, rise in global temperature is threatening food and fodder security as a whole. Climate change affects natural resources (such as water sources, land and pastures), biodiversity and livestock health. This has a direct effect on livestock production and livestock systems and as such it is not desirable for the livelihood of the people especially those residing in hilly region. The situation is acute in developing countries where annual feed deficits and increasing animal populations are major problems.

Introduction

The main aim of conservation agriculture is to sustain and improve the crop productivity and to provide protection against biotic and abiotic stress, while at the same time protecting and enhancing the biological activities of the soil. The essential principles of conservation agriculture are no-tillage (and direct seeding) or reduced tillage, the maintenance of a cover of live or dead vegetative mulch on the soil surface and the wise use of crop rotations. The crop sequences are planned in such a way that which will discourage the buildup of pests or diseases and will help to optimize plant nutrient use by synergy between different crops of the rotation. While deciding the crop rotation, the locally important crops should be considered and there should be deep rooted and shallow rooted crops in the sequence so that the utilization of soil nutrients is maximized. At least one leguminous crop should be there in the crop sequence. The use of plant residues influences the soil physical, chemical and biological properties by reducing surface temperature, rate of evaporation and maintaining water content, nutrient load and rate of organic matter decay. The soils under conservation agriculture are happened to be highly active and diverse biologically and can supply plant nutrients for a longer period of time because of their higher nutrient loading capacities.

Soil biodiversity comprises of all organisms whether single-cell organisms or multi-cell animals or plants that live in the soil. Soil microbial diversity includes “genetic diversity, that is the amount and distribution of genetic information within microbial species, diversity of bacterial and fungal species in microbial communities, and ecological diversity, that is variation in community structure, complexity of interactions, number of trophic levels and number of guilds (Nannipieri et al., 2003).

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.

The content presented in this chapter is exploratory and reflects emerging trends in integrating weather intelligence with decision support systems. The term “weather intelligence” is introduced as a framework, with ongoing research expected to further refine and expand upon these ideas as technologies evolve. In an era where climate variability and extreme weather events increasingly threaten global food systems, the integration of advanced decision support systems (DSS) with what we are now calling weather intelligence has emerged as a transformative paradigm. This chapter explores how food production— encompassing agriculture, fisheries, and animal husbandry—can harness integrated weather intelligence to inform real-time crisis management, strategic planning, and risk mitigation. The discussion is exploratory in many respects, as the concept of weather intelligence represents an innovative framework that challenges traditional forecasting methods and decision support tools (Fig. 9.1). Drawing on multidisciplinary research and practical case studies, we examine the building blocks of decision support systems tailored to food production. We then discuss the integration of weather intelligence into crisis response and strategic planning, highlighting both established risk mitigation approaches and emerging tools designed to anticipate and respond to extreme weather events. By contextualizing these developments within the broader scope of sustainable food production, this chapter offers an in-depth analysis and a forward-looking vision for decision support and response management in a rapidly changing climate.

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.

Introduction
In the past, the approach to disaster management was relief-focused and restricted to helping the area affected by the disaster. involves a continuous and integrated process of organizing, coordinating, and putting into action measures that are required or advantageous for preventing danger or threats, mitigating risk or its severity or consequences, building capacity through research and knowledge management, being ready to deal with any disaster, responding quickly to any situation that poses a threat to the community, determining the extent or severity of effects, evacuation, rescue and relief efforts, rehabilitation, and reconstruction.
Phases and Elements in Disaster Management
I. Pre-disaster phase: There are three components to the pre-disaster phase: preparedness, mitigation, and prevention.
II. The aftermath phase, encompassing response, recuperation, and restoration. All these components are connected by a structure of institutions and legislation.

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.

Abstract

Aquifers are usually composed of permeable layers that can ways a considerable amount of groundwater. Usually, aquifer units are correlated through the concept of lithostratigraphy. For low-permeable aquifers, it is difficult to define the spatial distribution of hydrogeological units, and this study attempts to use geochemical methods to identify the groundwater flow paths in an area of Southeast coast of Tamil Nadu, India. Multiple geochemical analyses, including groundwater chemistry; stable isotopic compositions of d¹⁸O and 8D contents were performed.  Spatial distribution of d¹⁸O, dD, Cl-/HCO-₃ show that northeastern part of the study area seriously affected by seawater intrusion. The highly permeable aquifers at the east coastal region are characterized by high hydraulic conductivity as compared with other regions of the study area. Hydrogeochemical characteristics based on bivariate diagrams of major and minor ions show that changes in the chemical composition of groundwater are mainly controlled by the salinization process followed by cation-exchange reactions.

Introduction

Intensive soil tillage, burning of crop residues and over use of fertilizer and irrigation water under current agricultural practices has accelerated the pace of degradation in Indian agriculture. Intensive soil tillage increases soil erosion and nutrient runoff into nearby waterways. Crop residue burning resulting in loss of plant nutrients and release of greenhouse gases (GHGs) in the atmosphere. Imbalanced use of chemical fertilizer leads to soil compaction, slows down the fertilizer utilization rate and contaminates the local environment. Increasing demand of irrigation water causes water shortage and harms the environment in several ways including increased salinity, nutrient pollution, and the degradation of flood plains and wetlands. In the face of these management and environmental challenges, there is a need to formulate such agricultural practices which improve the productivity of natural resources as well as of external inputs and help to prevent soil degradation. Conservation agriculture (CA) practices such as reduced tillage, residue retention and proper crop rotations offer such solutions. CA also helps in making agricultural systems more resilient to climate change and safeguard ecosystem services.

Global warming is the biggest long term threat to life on earth. Rise in temperature may drive thousands of species to extinction, trigger more frequent floods and droughts and sink low lying islands and coastal areas by rising sea levels. It is the result of rising atmospheric content of CO₂ mainly owing to burning of hydrocarbons or fossil fuels like as petrol and diesel. Destruction of forests and their degradation too contribute to rise in carbon dioxide levels. The IPCC (2006) projected the rate of warming for the 21st century to be between 0.8 and 4.4^ºC at various stabilized CO₂ levels in atmosphere and it is most likely to be 3°C by the end of this century. It could cost global economy almost $7 trillion by 2050, is equivalent to a 20% fall in growth if no action is taken on greenhouse gas emissions. If action is taken, it will cost only $350 billion due to climate change already taken place, just 1% of the global GDP. The winter 2007 was the warmest and recorded 0.85^ºC above average of 12oC and the previous highest was 0.71^ºC, which occurred in 2002 in Northern Hemisphere. The entire Europe Union recorded the warm winter, having more than 2^ºC above average. New York experienced the highest temperature of 21.7^ºC on a day in January, 2007 and the second highest was recorded as 17.2^ºC in 1950. The year 2007 was the warmest winter in the NHS. However, floods and excess rains were also noticed due to hurricanes and tropical storms worldwide in 2007. The year 2010 was the warmest year in India, followed by 2009. It was the second warmest year globally after 1998. It was also one of the wettest years globally in recent years and it was a landmark in annals of climatology.

Introduction

Precise and continuous measurement the greenhouse gases (GHGs) fluxes/ emissions in agricultural systems are required for accounting and budgeting of carbon. Further, the long-term measurements of GHGs fluxes are equally important as precise measurement. Therefore, high frequency and long-term measurement of GHGs across the cropping systems are essential for chalking out the GHGs emissions mitigation strategies. Various technologies with definite working principles are used for estimation of GHGs emissions in agriculture.

Greenhouse Gases Estimation Techniques

Two basic principles are followed to estimate greenhouse gases in agriculture. One is the collection of GHGs from the field and subsequent analysis of the concentration of gases through gas chromatography (GC). Another principle is based on sensors measurement with the help of infrared gas analyze (IRGA). The two techniques used for the measurement are (i) ‘closed chamber method’ (manual/automatic), and (ii) ‘sensor-based method’. Generally, the GHGs fluxes in agricultural crop field are estimated by ‘closed chamber method’ for methane (CH₄) and nitrous oxide (N₂O). And for carbon dioxide (CO₂) measurement either soil respiratory chamber or canopy chamber is used that measures CO₂ with the help of infrared gas analyzer (IRGA).

1.0 Introduction

Population in dry lands of the world is increasing; more fresh water is required in order to meet the growing demands. To meet this challenging situation developing new technologies for identification of potential sites for rainwater harvesting (RWH) is an important step towards maximizing water availability in semi-arid areas.

Abiotic Factors : These are physical, chemical and other non-living components of the environment such as light, temperature, moisture, nutrients and other edaphic factors.
 
Absolute Drought : It is defined as a period of consecutive days none of which had rainfall of 2.5 mm or more OR when actual rainfall is less than twice the mean deviation OR actual rainfall is less than half the normal weekly rainfall.
 
Absolute Growth Rate : The rate of increase in size of a growing plant (or part of it) in a given time under specific growing conditions.

Absolute Humidity : Absolute humidity is defined as the actual mass of water vapour present in the given volume of air. It is measured in grams per cubic meter or in terms of partial pressure of water vapour in air in mb or mm.

Yak (Poephagus grunniens)is the most remarkable and multipurpose domestic animal living at high altitudes of the Himalayas. Features common to the environment in which yak live are extreme cold, mountainous terrain, high altitudes with reduced oxygen in the air, high solar radiation and short growing seasons for herbageanda variable assortment of herbage, sparse insome areas. Generally, the yak habitat ranges from 3000-6000 m abovemean sea level (msl), where the alpine pastures are found and there is no absolutely frost-free period during any part of the year. Wilted herbage provides some sustenance for the yak at other times of year, but not insufficient quantity for their requirements (Fig. 9.1). Many of thecharacteristics of the yak can be regarded as adaptations to these conditions, in which cattle of other species have difficulty in surviving (Wiener et al., 2003).The yaks are considered as the life line of the highlanders in remote terrain because yak is the only sustainable livelihood due to non-availability of arable land for major agriculture. Yak husbandry is one of the important and indispensable aspects of the Indianstates, namely, Arunachal Pradesh, Himachal Pradesh, Jammu and Kashmir, Sikkim and Garhwal hills of Uttarakhand where other livestock species can hardly live but yaks can survive, reproduce and produce milk, meat, wool and other by-products.

Atmosphere can be defined as the gaseous envelope surrounding the earth. It is retained by earth’s gravity. The atmosphere has a mass of about 5.15 × 10¹⁸ kg, three quarters of which is within about 11 km of the surface. The imaginary ‘Karman line’ lies at an altitude of 100 km above the earth’s sea level, and commonly represents the boundary between the earth’s atmosphere and outer space. The study of earth’s atmosphere and its processes is called atmospheric science or ‘aerology’.

Air in motion is called wind. Winds move moisture and heat around the world and also produce much of our weather. Winds are part of a global air circulation system that acts to balance temperature and pressure around the world. Any difference in temperature will always cause a difference in air pressure, and therefore, winds will blow. There are two types of movement in the atmosphere, horizontal movement and vertical movement. The term wind generally refers to the horizontal movement of air relative to the earth’s surface. Vertically moving air columns are called as currents. Upward and downward air currents are referred to as updrafts and downdrafts, respectively. Vertical motion in the atmosphere is of significance for the formation of clouds, precipitation and various types of storms. The horizontal differences in air pressure are far more variable than vertical changes and give rise to a wide range of air motions. Uneven distribution of pressure over the globe is balanced through the movement of winds. Winds also act as a means of transporting heat, moisture and other properties from one part of the earth to another.

This chapter introduces tree improvement approaches aimed at developing forest species with enhanced resistance to biotic and abiotic stresses. It examines the challenges posed by climate change and discusses conventional and modern tree breeding techniques. The chapter further explores climate-smart tree improvement, resistance to pests and diseases, and tolerance to environmental stresses such as drought, heat, salinity, and other changing climatic conditions. By integrating breeding strategies with modern technologies and climate-resilience objectives, the chapter emphasizes the development of improved forest trees capable of maintaining growth, productivity, survival, and ecosystem functions under changing environmental conditions.

The green revolution enhanced the food grain production by increasing  productivity of the arable crops as the only means of expanding output. The impact of this ‘revolution’ was first realized especially in the north Indian states of Punjab, Haryana, and western Uttar Pradesh. Since the new technology was based on use of seeds of high yielding varieties, increased use of irrigation and chemical fertilizers, pesticides and farm mechanization; the incremental gains in productivity of late began to end and food production started stagnating, and in many places it even acquired a decreasing trend. It is well accepted fact that ‘success always has its costs and green revolution has been no exception’. Critics of green revolution point to the environmental and health hazards due to increased use of agro-chemicals and the vulnerabilities that is there due to the spread of monocultures in which indigenous land races have been ignored and least emphasis was given on cropping systems based on crop diversification.