eChapters

Climate-resilient agriculture involves the use of practices, technologies, and approaches that can help to reduce the risks associated with climate change, while also promoting sustainable agriculture and improving the livelihoods of farmers and rural communities. This can include a range of strategies, such as the use of climate-tolerant crop and animal varieties, agroforestry practices, conservation agriculture, and integrated water management. Climate-resilient agriculture can also involve the use of innovative technologies, such as precision agriculture, drones, and satellite imaging, to support decision-making and improve the efficiency of agricultural systems. This chapter outlines the principles and priorities for climate-resilient agriculture, with a focus on the key strategies and approaches that can help to promote sustainable agriculture and reduce the vulnerability of agricultural systems to climate change. The chapter draws on examples and case studies from around the world, highlighting the importance of adopting a holistic and integrated approach to climate-resilient agriculture that takes into account the social, economic, and environmental dimensions of sustainable agriculture. By outlining the principles and priorities for climate-resilient agriculture (Fig. 5.1), this chapter aims to provide a framework for policymakers, practitioners, and other stakeholders to promote sustainable agriculture and reduce the vulnerability of agricultural systems to climate change

10.1. Determination of Soil pH

The soil pH value is the measure of hydrogen or hydroxyl ion activity in the soil solution and it indicates whether the soil is acidic, neutral or alkaline in reaction. The pH is the most important property of soil as it controls the availability of plant nutrients, microbial activity and physical condition of soil. Since crop growth is affected both under very low (strongly acidic) and very high (strongly alkaline) soil pH, reclamation of these soils are necessary. Soil pH in fact indicates the extent of active acidity (activity of hydrogen ion in soil solution) of soil. Depending upon the purpose of measurement and soil condition, soil pH is measured in several soil-water or soil-salt solution ratios. The saturated paste is used for identifying specific soil problems like degree of acidity or alkalinity. For making fertilizer recommendation, 1: 2 soil-water suspension is generally adopted. To mask the variability in salt content of the soil, the pH is measured in soil-CaCl₂ suspension (1:2 soil-0.1 M CaCl₂ solution). The soil pH value is independent of dilution over a wide range of soil-salt solution ratio, thus more reproducible than those obtained with soil-water suspension.

11.1. Determination of Electrical Conductivity of Soil Solution

The conductivity or more precisely the specific conductance of a soil at a given soil-water ratio is the reciprocal of the specific resistance offered by the solution at 25ºC between the electrodes of 1 sq cm cross section kept 1 cm apart. Thus, the electrical conductivity of any solution depends on the amount of soluble salt present in it. Knowledge on the extent of salinity is important for management of saline soil including the choice of the crop suitable for that soil. Soluble salt content in saturation extract is more reliable index of salinity level than in soil: water ratio of 1: 2 or 1: 2.5 because it simulates the extent of salinity experienced by crop in field moisture condition.

Salinity class of soil is based on the electrical conductivity (EC) of saturation extract at 25ºC. However, EC of water extract from 1:2 soil-water suspension can be transformed into the EC of saturation extract following the formula (except for soil containing gypsum).

Meteorological hazards are severe and extreme weather and climate events that occur in all parts of the world, although some regions are more vulnerable to certain hazards than others. Meteorological hazards include cyclones, droughts, floods, hurricanes, hailstorms, heat waves and tornadoes. The hazard is distinguished from an extreme event and a disaster. An extreme event is simply an unusual event; it does not necessarily cause harm. A disaster is an event that does cause harm in significant amounts. Meteorological hazards are often called as natural hazards. The natural hazards become natural disasters when people’s lives and livelihoods are destroyed.

Hydrological hazards are the result of either excess or a severe lack of water, i.e., flood or drought. Hydrometeorological hazard is a process or phenomenon of atmospheric, hydrological or oceanographic nature that may cause loss of life, injury or other health impacts, property damage, loss of livelihoods and services, social and economic disruption, or environmental damage. Human and material losses caused by natural disasters are a major obstacle to sustainable development. By issuing accurate forecasts and warnings in a form that is readily understood and by educating people about how to prepare against such hazards, before they become disasters, lives and property can be protected.

Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location. Weather forecasts are made by collecting quantitative data about the past and current state of the atmosphere on a given place and using scientific understanding of atmospheric processes to project how the atmosphere will evolve on that place. Weather warnings are important forecasts because they are used to protect life and property. Forecasts based on temperature and precipitation is important to agriculture.

Agricultural production is highly dependent on weather, climate and water availability, and is adversely affected by weather and climate related disasters. In many developing countries where rainfed agriculture is the norm, a good rainy season means good crop production, enhanced food security and a healthy economy. Failure of rains and occurrence of natural disasters such as floods and droughts can lead to crop failures, food insecurity, famine, loss of property and life, mass migration, and negative national economic growth (Sivakumar, 2006).

Farming in many parts of the world, especially in the arid and semiarid regions is risky, because climate is highly variable. In some developing countries as much as 80% of the variability in agricultural production is due to the variability in weather conditions. This production variability in agriculture has immediate and important macroeconomic impacts. A timely seasonal forecast of favourable conditions could permit farmers to adjust cropping patterns and input use in order to benefit fully from these conditions. Also, a timely forecast could give the marketing system and downstream users, such as the food processing industry, time to prepare for a bountiful harvest (Arndt et al., 2000). It is important to remember that under rainfed conditions, even a less reliable, but earlier forecast may be more valuable than an accurate but late forecast (Mjelde et al., 1998).

Biomass, a diverse and renewable resource, holds immense potential as a source of energy, feedstock, and environmental solutions. However, effectively harnessing its benefits necessitates a systematic approach. This chapter introduces the concept of Biomass Management Techniques as a pivotal framework for optimizing the utilization of biomass resources. With a focus on sustainable practices, this chapter delves into various techniques to handle, process, and utilize biomass efficiently. From collection and transportation to storage, conversion, and beyond, Biomass Management Techniques encompass a wide array of methods that ensure the seamless integration of biomass into energy generation, industrial processes, and environmental conservation.

Building upon the foundation laid in earlier chapters, perhaps exploring local weather dynamics and regional climate patterns, the present chapter “Global Weather Parameters and Teleconnections,” takes a significant step back to examine the Earth’s weather systems on a truly planetary scale. Here, we shift our focus to the fundamental forces and patterns that orchestrate the global climate ballet. We will delve into the key global weather parameters – think of these as the vital signs of our planet’s atmosphere – such as the overall distribution of temperature across latitudes and altitudes, the major global pressure belts that drive air movement, and the resulting large-scale wind systems that circulate heat and moisture around the globe. These parameters, born from the interplay of solar radiation, the Earth’s spherical shape, and its continuous rotation, are the primary drivers of our planet’s diverse climates. Beyond these fundamental parameters, this chapter will illuminate the fascinating world of teleconnections. Imagine the atmosphere and oceans as an intricate network, where events in one distant region can have a ripple effect on weather patterns thousands of kilometers away. Teleconnections represent these long-range linkages, acting as the “threads” that connect seemingly disparate weather phenomena. We will explore prominent examples like the El Niño- Southern Oscillation (ENSO), which has profound impacts on rainfall and temperature across the Pacific and well beyond, including potential influences on the Indian monsoon – a topic likely of particular interest given your previous research. Similarly, we will examine phenomena such as the North Atlantic Oscillation (NAO), influencing weather across Europe and North America, and the Madden-Julian Oscillation (MJO), a traveling wave of thunderstorms in the tropics that can affect global circulation. For those interested in agricultural meteorology, the understanding of global weather parameters and teleconnections is paramount. These largescale patterns and their interconnections play a critical role in shaping regional climate variability, influencing the onset and intensity of droughts and floods – events you’ve extensively researched – and impacting crop yields and water availability. By grasping these global drivers, we can enhance our ability to forecast seasonal weather patterns, anticipate potential climate-related risks to agriculture, and develop more informed strategies for long-term agricultural planning and adaptation in a changing world. This chapter aims to provide you

Agriculture, the bedrock of human civilization, has always been intimately intertwined with the vagaries of weather. From the earliest cultivation efforts, the success or failure of harvests has been profoundly influenced by temperature, rainfall, sunlight, wind, and humidity. Agricultural meteorology, at its core, is the study of the relationship between meteorological conditions and agricultural production. It encompasses understanding how weather and climate impact plant growth, animal husbandry, pest and disease outbreaks, and overall farm management. This field seeks to apply meteorological knowledge to optimize agricultural practices, enhance productivity, and mitigate the adverse effects of weather-related risks.
While today we rely on sophisticated instruments, satellite imagery, and complex computer models to forecast and analyze weather for agriculture, our ancestors possessed an astute understanding of the natural world, honed through generations of observation. In ancient times, the acquisition of weather information for agricultural planning was a deeply empirical and often culturally embedded process.
Without thermometers, rain gauges, or barometers, early agricultural communities relied heavily on direct observation of natural phenomena. They meticulously watched the sky, noting the color and movement of clouds, the intensity and duration of rainfall, and the prevailing wind patterns. The appearance of halos around the sun or moon, the frequency of lightning, and even the behavior of animals were often interpreted as harbingers of impending weather changes.

The Review of literature is a systematic, explicit and reproducible method of identifying, evaluating and synthesizing the existing body of a completed and a recorded work produced by researchers, scholars and practitioners. The Review of literature is also a resource paper which includes the current knowledge including substantive findings as well as the theoretical and the methodological contributions to a particular topic. These are available mostly in academic and scholastic journals.

Review of literature provide the basics for research in nearly every academic f ield. This chapter is an extensive survey of all past studies relevant to the field of investigation which gives knowledge of what others have found out in the related field of study. In any scientific investigation or research, a comprehensive presentation of the review of literature is a statutory requirement.

The aim of review of literature is to highlight what has been done so far in the field of interest and how our findings are related to earlier research.

Its main functions are to develop a better understanding of the problem to be investigated, delineate a new area of study and avoid unnecessary duplication, decide on the tools and techniques to be adopted including developing some new ones and also to relate the present study with the previous ones by finding out the areas of agreement and disagreement.

The process through which heat energy is transferred from a body at higher temperature to a body at lower temperature without any material medium between the two bodies is x called radiation. The outer surface of the the Sun is at higher temperature compared to the surface of the earth. Solar radiation is the electromagnetic energy emitted by the Sun. It is the primary source of energy for the Earth’s climate system, driving atmospheric and oceanic circulation, influencing weather patterns, and sustaining life through photosynthesis.2 This energy travels through space as electromagnetic waves, encompassing a broad spectrum of wavelengths, from high-energy gamma rays and X-rays to ultraviolet, visible, infrared, and radio waves. The portion of this spectrum that reaches the Earth’s surface is crucial for a multitude of processes, making thestudy of solar radiation fundamental to understanding our planet’s environment.  This introduction will lay the groundwork for exploring the characteristics, distribution, and interaction of solar radiation with the Earth’s atmosphere and surface.
5.1. Wave length of Radiation
The wavelength of radiation refers to the distance between two consecutive peaks or troughs of a wave. It’s a measure of the length of one complete cycle of the wave

Introduction
Mango (Mangiferaindica L) known as “the king of fruits” and “Apple of the Tropics” is most popular fruit in the tropics and sub-tropics. It moved from India to different countries and has gained popularity around the world. It has long been associated with the Indian culture and religious functions. Among different states, Uttar Pradesh and Andhra Pradesh constitute 23.64 per cent and 22.99 per cent share in the total mango, respectively, in the country. In 2023, Mango production had a total export volume of 78.56 billion MT. India is the biggest mango producer with a total production volume of 25 million MT of mangoes during the year. The top 10 mango producers in 2023 include India (25 million MT), China (3.8 million MT), Indonesia (3.6 million MT), Pakistan (2.7 million MT), Mexico (2.4 million MT), Brazil (2.1 million tons), Malawi (1.7 million MT), Thailand (1.6 million MT), Bangladesh (1.5 million MT) and Vietnam (1.4 million MT). As regards world-wide mango exports, Mexico is the biggest mango exporter with total exports worth $576.36 million in 2023. It was noted that Mexico’s mango exports increased by 5.09% from the previous year. The top 10 mango exporting countries in 2023 include the following:

6.1 Quantities and rates of runoff

Before a start can be made on the design of the channels and ditches and other works which can deal with surface runoff we need to know the probable quantity of water. If the object is to impound or store the runoff then it may be sufficient to know the total volume of water to be expected, but the usual conservation problem is conveying water from one place to another, and in that case the rate of runoff is more important, and particularly the maximum rate at which runoff is likely to occur. That is the flow which a channel must be designed to accommodate.

In a hypothetical catchment area* with an impervious surface and no losses the maximum rate of runoff would be directly proportional to the rate of rainfall. In natural catchments there are other factors: some of the rain is intercepted by vegetation, some infiltrates into the soil, some starts moving over the surface but is trapped in depressions, and some is lost by evaporation. Estimates of rates of surface runoff therefore depend on two processes: estimating the rate of rainfall, and estimating how much of the rainfall becomes runoff.

There are several empirical methods for doing both and for combining the two factors, but because they are empirical two points must be stressed. Firstly, as with all empirical solutions, data, tables, and formulae developed in one situation should not be applied in different conditions without careful checks on whether the method is valid in the new situation. Secondly, each of the three main methods which will be

Managing soil organic matter is of paramount importance in sustainable crop production. Human interventions always lead to a decrease in soil organic matter content and biological activity. Therefore, even for maintaining moderate levels of organic matter in soils, sustained efforts should be in place. Such sustained efforts should include adopting high-residue crops in rotation and ensuring regular return of residues to soils.

It is all the more difficult to maintain the organic matter content in well aerated soils and soils of hot and arid regions, because in these soils added materials decompose rapidly. However, in comparison, it may not be so difficult to maintain the organic matter levels in fine-textured soils with restricted aeration and in soils of cold temperate regions.

19.1. Measures that Decrease Soil Organic Matter Content

Developing countries with agrarian economy have been facing challenges arising from climate change causes and consequences. The altered patterns of climate are affecting the yield potential of crops thereby affecting agricultural production, farmers’ income, and livelihoods. Out of the 17 Sustainable Development Goals (SDGs) of the United Nations, the 13th SDG on ‘Climate action to combat climate change and its impacts,’ emphasises the importance and urgency of addressing the effects of climate change in developing nations. It is projected that climate change would have the most detrimental effect on agriculture, the primary source of income for small and marginal farmers in developed nations (Azadi et al., 2021). Building the ability of small and marginal farmers will be crucial to global food security over the next decade (FAO, 2020). World Bank (2018) reported that 800 million South Asian population are at risk of experiencing a decline in their standard of living and incomes due to rising temperatures and more erratic rainfall hampering the agriculture production system. Millions of low-income smallholder farmers, particularly those who rely on agriculture for a living and an income in South Asia, would be directly impacted by a reduction in productivity leading to food supply shortages and price increases.

Introduction
Farm advisories have played a key role in transforming India’s agriculture, helping the country shift from a food deficit to a surplus nation. The Indian public agricultural extension system has been instrumental in this transformation through Green Revolution in the 1960s, but by the end of the 1970s, its role had started to decline. Critics argued that the system had become a monolithic organization without clear objectives (Babu et al., 2013). According to NSSO data, in 2004, public extension services in India, including the Krishi Vigyan Kendra, extension workers, field demonstrations and study tours, reached to less than ten percent of farmers. Instead, farmers relied mostly on other progressive farmers (17%) and input dealers (13%) for information, while mass media including radio, television and newspaper played a significant role reaching to more than thirty percent farmers (Mkhize and Zhou, 2012; Meena et al., 2022a). One of the major constraints in agricultural extension services (AES) in the country is the shortage of extension staff. According to a report, in 2012-13, a single extension functionary served 1,162 operationalholdings, whereas the recommended ratio was 1:400 in hilly areas, 1:750 in irrigated areas, and 1:1000 in rain-fed areas. Input dealers often provide manipulated information specific to the crops grown by farmers, affecting their decision-making process.

11.1 Global Warming

Definition : Global warming is defined as an increase in the earth’s temperature due to the use of fossil fuels and other industrial processes leading to a build-up of green house gases (CO2, methane, ozone, nitrous oxide, and chlorofluorocarbons) in the atmosphere.

11.2 Who Coined the Term Global Warming?

The principle of global warming was first put fourth by S. Arrhenius in his paper on “the influence of carbonic acid in the air upon the temperature of the ground” in 1869. This concept gained ground in the late 1980s and early 1990s when it was found that the earth’s temperature had warmed over the past century, because of increased carbon dioxide emission.

ABSTRACT

Worldwide reinterpretation of evolutionary history of sedimentary basins had commenced with the introduction of sequence stratigraphic concepts by geoscientists of Exxon. The eustatic sea level controlled deposition in sedimentary basins together with synchronous excursions of many trace elemental and stable isotopic compositions of sedimentary strata have led to a proposition that geographically widely separated sedimentary strata could be classified and correlated with ease by application of sequence stratigraphy and chemostratigraphy, relatively younger branches. This paper reviews the key definitions of these stratigraphic methods, presents an overview on their applicability in petroleum exploration, reservoir characterization and stratigraphic correlation. Considering the man-hours required for interpretation of sequences and chemozones from large quantum of core samples being generated from exploration activities and the possibility of human-error and biased nature of interpretations, an automation scheme involving statistical discrimination is suggested. The statistical discrimination method has been tested to have 76-100 % distinction of depositional units of Recent – Cretaceous in age in terms of sequences, chemozones, lithostratigraphic units, petrographic types and sedimentary microenvironments with 100% reproducibility of predictions. Hence, creation of a large database with well constrained subpopulations and putting it to use for recognition of depositional units and correlation of strata and reservoir characterization is suggested which may reduce operational inconsistencies and improve exploration strategies.

Introduction 
The preceding chapter introduced the foundational concept of the systems approach, emphasizing the interconnectedness of components within complex entities and the power of simulation to understand their dynamic behavior. Building upon this understanding, This chapter delves into one of the most vital applications of system simulation in agriculture: crop models. These sophisticated computational tools stand as the cornerstone for quantitatively representing the intricate interplay between the soil, the plant, and the atmosphere, providing a dynamic lens through which to examine agricultural productivity and resource use efficiency. Crop models are essentially mathematical descriptions that mimic the growth, development, and yield of agricultural crops under various environmental conditions and management practices. They encapsulate our scientific understanding of how plants absorb light, water, and nutrients, how they convert these resources into biomass, and how they respond to stresses like drought, heat, or nutrient deficiency. Far from being mere statistical regressions, these are often process-based models, meaning they attempt to simulate the underlying biological, physical, and chemical mechanisms that govern crop performance. By integrating knowledge from disciplines such as plant physiology, soil science, meteorology, and agronomy, crop models provide a holistic and dynamic representation of the entire agricultural system. The evolution of crop modeling has mirrored advancements in computational power and scientific understanding. From early empirical models that relied heavily on statistical relationships between yield and a few environmental factors, the field has progressed to complex mechanistic models that simulate detailed physiological processes on a daily or even hourly basis. This evolution has transformed crop models from purely research-oriented tools into powerful instruments for real-world decision-making. Their ability to conduct virtual experiments—simulating hundreds or thousands of growing seasons

Key facts

    
•    The use of chemicals has many benefits, however, there are potential risks that some of these chemicals may cause harm to organisms and human health if they enter into the environment.
    
•    Harmful chemicals are those chemicals which are persistent, bio-accumulative, as well as toxic (PBT). 
    
•    Environmental or ecological risk assessment (ERA) consists of hazard identification, effect assessment, exposure assessment, risk characterization, risk classification, risk-benefit analysis, risk reduction and monitoring.
    
•    The five types of environmental monitoring are: chemical monitoring, bio-accumulation monitoring, biological effect monitoring, health monitoring and ecosystem monitoring. 
    
•    An integrated monitoring program is a coordinated monitoring activity comprising of both chemical and biological measurements in a variety of environmental compartments. There are four different monitoring levels in an integrated ERA, these are: suborganismals (biomarkers), organisms (bioassays), populations (bio-indicators) and ecosystems (ecological indicators).

Green nanocomposites offer promising possibilities for biomedical applications because biodegradable matrices can be combined with nanoscale fillers to obtain specific functional properties. This chapter explores their applications in tissue engineering and drug delivery, with attention to materials such as chitosan, alginate, cellulose, and polylactic acid. It discusses the fundamentals of green nanocomposites, tissue-engineering applications, controlled drug delivery, toxicity, biocompatibility, regulatory considerations, and current limitations. Nanocomposite systems can provide useful mechanical, thermal, antimicrobial, antioxidant, and therapeutic characteristics while supporting more sustainable material development. The chapter highlights the importance of balancing biomedical functionality, safety, environmental responsibility, processing requirements, and long-term biological compatibility.