eChapters

Introduction
Agriculture plays a vital role in global food security and economic development. However, in many regions, agricultural productivity is hindered by various challenges, including the presence of high soil salinity in agroecological systems (Singh, 2009). Saline agroecological systems are found in various regions worldwide, including coastal areas, arid and semi-arid regions, and areas affected by improper irrigation practices. These systems are characterized by high soil salinity levels, which can have detrimental effects on crop growth, nutrient availability and plant water uptake (Rai et al., 2020). Addressing these challenges requires specialized knowledge and tailored strategies to ensure sustainable agricultural practices in such environments (Dagar et al., 2019;
Sethi et al., 2016). Farm advisory and resource management services play a critical role in assisting farmers in saline agroecological systems by providing expert guidance, information dissemination, capacity building, and policy support (Adak et al., 2020). Farm advisory can play a crucial role in helping farmers understand the intricacies of saline agroecological systems, including the causes of soil salinity, its effects on crop performance, and the necessary strategies for managing these challenges effectively. Farm advisory can assist farmers in selecting suitable crop varieties that exhibit tolerance to high salinity levels. This requires comprehensive knowledge of salt-tolerant crops and and nutritional needs. Providing information on the performance and market
demand of different crop varieties enables farmers to make informed decisions about crop selection, optimizing productivity in saline agroecological systems (Kumar et al., 2020; Singh et al., 2021). It can offer guidance on crop management practices tailored to saline environments by providing recommendations on irrigation scheduling, water management techniques, and appropriate fertilization strategies to minimize salt accumulation and maximize crop yields. Helping farmers implement best practices for s

From the farmer deciding when to sow seeds to the traveler planning their journey, from the pilot navigating the skies to the energy provider managing demand, the state of the atmosphere profoundly influences our daily lives and myriad human activities. The ability to anticipate future atmospheric conditions, a practice we know as weather forecasting, is therefore not merely an academic pursuit but a practical necessity (Fig. 16.1).
This chapter will delve into the fascinating world of weather forecasting, exploring its historical roots, the fundamental scientific principles that underpin it, and the sophisticated tools and techniques employed by modern meteorologists. We will journey through the process of observing the current state of the atmosphere, the computational power used to model its complex dynamics, and the various ways forecasts are disseminated and interpreted.
Understanding the science behind weather forecasting empowers us to appreciate its capabilities and limitations. It allows us to make more informed decisions in the face of an ever-changing atmospheric environment. Join us as we unravel the methods used to predict the weather, from simple observations to cutting-edge numerical models, and gain insight into the continuous advancements shaping the future of this vital scientific discipline.

Introduction

We are faced with the dual challenges of Climate change and food insecurity irrespective of the countries and regions across the globe. Asia Pacific region is one of the most climate change vulnerable regions in the world (Prabhakar & Matsumoto, 2010) on account of its relatively higher & dense population depending on climate related sectors and living in climate change vulnerable locations. In particular, the agriculture production system is facing serious repercussions due to increasing weather vagaries since past few decades. Agriculture being highly dependent on climatic condition is like gambling at the hands of erratic rainfall or droughts leading to crop loss on a regular basis in terms of reduced yield, increased pest resurgence and lack of safety net in case of weather based disasters all of which prominently affects the small holder farm families. Indian subcontinent has been facing extreme climatic events since the past decades in form of floods, erratic rainfall, high temperature, shrinking water sources, etc. which have caused deprivation in agriculture in economic and non-economic terms. In a series of researches and studies conducted over the years; the need for enhanced adaptation research and policymaking capacity in developing Asia has been reflected. Hence, adaptation research has to take an important place at global, national and local level.

Introduction
Horticulture is distinct from other economic sectors as its output is heavily reliant on weather conditions. The degree of success of horticultural production and economics is decided to a large extent by how well weather conditions corresponding to the crop’s optimal requirements are best utilized to raise the crops. Also, how successfully adverse weather circumstances, such as moisture, thermal, wind, radiation and biotic stresses were handled to minimize adversity. It is well understood that variability in weather elements (particularly rainfall and temperature) is the primary cause of inter-annual variability in crop output. The onset of weather extremes (dry spells, droughts, floods, heat waves, and hailstorms) has a negative impact on horticultural yield, resulting in a low level of productivity. Furthermore, weather can have an impact on output at multiple levels (vegetative stage, harvest, transportation, storage, etc.). Flooding, droughts, heat waves, cold spells, hailstorms, and other natural calamities pose significant risks to farms. These natural catastrophes can lead to lower yields, leaving uninsured farmers with little income for the season. Farmers often plant low-risk, low-return crops (such as early maturing varieties that are drought-resistant) to deal with erratic weather rather than investing in more profitable crops that are more sensitive to weather fluctuations and extremes. Thus, atmospheric stress has significant impacts on the food ecosystem (Bal and Minhas, 2017; MANAGE, 2018).

Agriculture, the cultivation of plants and rearing of animals for food, fiber, and other products, is intrinsically linked to the Earth’s climate. Temperature, rainfall patterns, and atmospheric composition profoundly influence agricultural productivity and distribution. However, the stability of these climatic conditions is increasingly threatened by climate change, driven primarily by the escalating concentration of greenhouse gases in the atmosphere. This chapter delves into the multifaceted relationship between climate change and agriculture, exploring the ways in which altered climatic conditions affect agricultural practices, productivity, and sustainability. We will examine the impact of rising temperatures, shifting precipitation patterns, and increased frequency of extreme weather events on crop yields, livestock health, and overall agricultural output. Furthermore, the chapter will discuss the implications of these changes for global food security, economic stability, and the livelihoods of millions of people who depend on agriculture. Finally, we will explore strategies for mitigating the adverse effects of climate change on agriculture and enhancing the resilience of agricultural systems in the face of this unprecedented challenge.

Agriculture, the cultivation of life that sustains human civilization, is profoundly intertwined with the rhythms of the natural world. Of all the environmental factors that influence farming, weather reigns supreme, orchestrating a complex symphony of elements that dictate the success or failure of crops. This chapter delves into the intricate relationship between weather and agriculture, exploring how temperature, precipitation, sunlight, and other atmospheric conditions shape every facet of agricultural production.
Weather’s influence begins with the very first stage of a plant’s life. Temperature governs seed germination and seedling development, while sunlight provides the energy for photosynthesis, the process by which plants convert light energy into chemical energy. The availability of water, dictated by rainfall patterns, is crucial for plant growth and nutrient absorption. Wind patterns can aid in pollination but also cause damage to crops.
Throughout the growing season, weather continues to play a critical role. Optimal temperatures are essential for each stage of plant development, from flowering to fruit production. Adequate rainfall, or irrigation to supplement it, ensures healthy growth and abundant yields.
Extreme weather events, such as droughts, floods, heatwaves, and frosts, can have devastating consequences for agriculture. These events can destroy crops, reduce yields, and disrupt food production, leading to economic losses and food insecurity (Fig. 18.1).

1. Introduction

The agriculture sector in Asia and the Pacific plays a vital role in the rural economy, making significant contributions to both GDP and employment. This sector serves as a cornerstone for food production, economic growth and poverty reduction in the region. Understanding the importance of farming in the region’s rural economy, as well as the need for viable farming systems particularly for smallholder farms, is essential for sustainable development.

Importance of Farming in the Rural Economy

Farming has a substantial impact on the rural economy of Asia and the Pacific. It serves as a primary source of income and livelihood for rural populations, contributing significantly to the region’s Gross Domestic Product (GDP). The agricultural sector encompasses a wide range of activities, including crop production, livestock farming, fisheries, and forestry, providing diverse opportunities for economic development.

According to the Food and Agriculture Organization (FAO), farming accounts for 29 percent of the region’s GDP (FAO, 2021). This demonstrates the significant economic value that agriculture brings to the region, making it a crucial sector for sustainable development. The revenue generated from agricultural activities supports not only farmers but also other stakeholders in the value chain, including agro-industries, distributors, and exporters.

In an era defined by increasing climate variability and the urgent need for sustainable food production, the science of Agricultural Meteorology has risen to unprecedented importance. This chapter, “Agricultural Meteorology: An Essential Associate for Natural Farming,” synthesizes the principles and applications we have explored, highlighting their critical role by providing timely, location-specific insights into weather and climate - factors that directly influence crop growth, soil health, and ecological balance. Unlike conventional farming, which often relies on synthetic inputs to manage uncertainty, natural farming depends heavily on understanding and adapting to natural rhythms. Here, agrometeorology becomes an indispensable ally.
Natural farming systems are sensitive to changes in temperature, rainfall, humidity, wind, and solar radiation. Agrometeorology helps farmers monitor and interpret these parameters, enabling them to make informed decisions such as when to sow, irrigate, mulch, or harvest — all without chemical interventions. For instance, knowing the onset of monsoon or forecasted dry spells helps in planning sowing operations or preparing natural plant protection measures like cow dung-based formulations.

ABSTRACT

54 foraminiferal species belonging to 29 genera, 23 families, 17 superfamilies and 5 suborders have been identified from Nagaland. Of the total species 16 are planktic and 38 are benthic forms. The age for the Upper Disang Group of Nagaland is assigned as Late Eocene, based on the presence of Late Eocene markers i.e. Globigerinatheka semiinvoluta, Cribrohantkenina inflata, Hantkenina alabamensis and Turborotalia cerroazulensis. As per the present study the Disang succession in Nagaland can be grouped into five biofacies. The Uvigerina dominated biofacies consisting Uvigerina cocoaensis, U. continuosa, U. eocaena, U. glabrans, U. jacksonensis and U. cf. steyeri. In some samples even up to 100 % Uvigerina were present. The localized occurrence of thick “Uvigerinids” in high percentage with pyritized test in this section indicates anoxic conditions, suggestive of possible source rock for oil.

Three fundamental processes that are responsible for inducing changes in weather are transfer of heat, energy and mass. The Sun, whose inter-surface temperature is estimated to be around 6000°C emits heat energy in the form of solar radiation which is received at the earth’s surface after it is partly depleted in the atmosphere. Therefore, it is essential to understand the processes that govern the transfer of heat in the earth-atmosphere system.

3.1 Conduction

The transfer of heat from one point to another point within the material medium without the actual movement of the particles in the medium is called conduction i.e. the heat energy transfer is conducted by the particles in the medium from hot end to cold end. If a metal rod is heated at one end, the other end of rod becomes hot gradually due to transfer of heat by conduction. In the earth atmosphere system, conduction of heat is observed at the ground surface only. The amount of heat energy transferred due to conduction (Q) is

Research methodology is a detailed plan of investigation and the blue print of procedure for carrying out the research. In this chapter, discussion on the methodology has been made to understand the concepts, methods and techniques, which are utilized to design the study, collect information, analyzing data and interpreting the findings for revelation of truth and formulation of theories. The entire chapter has been broken up under following sub-heads for easy understanding:

1. Locale of research
2. Sampling design
3. Pilot study
4. Variables and their measurements

ABSTRACT

Over the past four decades groundwater has become a topic of discussion and investigation and as a result the knowledge of understanding groundwater conditions has radically improved. For the past quarter century, remote sensing has played a vital role to target the groundwater resources for the essential survival of horticulture and agriculture crops in drought-prone areas. GIS technology has made a rapid stride for the past one decade to amalgamate the data generated from various space-born platforms and the ground based surveys to facilitate the generation and use of various thematic information for groundwater resources assessment. The present study aims for the demarcation of various groundwater prospective zones in the West Doon Valley and its environs, falling in the SOI toposheet 53 F/15. The role of various parameters namely, Geomorphology, Geology, Lineaments, Drainage, Land Use, Water table and Slope has been integrated for delineating groundwater prospective zones. IRS IC LISS-III geocoded satellite image on 1:50,000 scale was used. Index overlay model has been applied for GIS analysis. The resultant map indicates five prospective zones, such as poor, low, moderate, high and very high groundwater prospective zones in the study area.

Introduction

The development of any region is reflected in its quantum of energy consumption. With a view to keeping the pace we have to grow our energy resources at a rate that commensurate to sustainable development. There is already shortage of electricity, reflected in power cuts notwithstanding enhancement of electricity production of several folds in the country. The problem is more severe in context with rural areas in India where some 70% of population live and have agriculture as the main occupation. Although statistically few thousand villages are yet to be electrified, the availability of regular supply in far off places has been a problem and the farmers are unable to derive benefits of electricity. The fast depleting kerosene is used for lighting and diesel oil for running agricultural machinery including pumps. In addition people burn firewood, agricultural waste and cow dung cake for cooking food causing irreparable damage to the ecosystem. According to Lester Brown there will be plenty of food to eat but no fuel to cook. The burning of cow dung deprives farmers the use of potential source of organic manure. Further, due to shortage of energy resources, farmers are unable to process the agricultural products to enable them to accrue more benefits. The situation is still worse in arid region where bio mass is scarce and there is no hydro electricity. In addition, farmers are unable to generate additional income due to lack of energy resources to run appropriate device in cottage industries. In this context, solar energy utilization has a tremendous potential for providing needful energy to the farmers for domestic, agricultural and allied applications leading to a sustainable development.

Introduction 
Building on our extensive exploration of how individual weather parameters intricately influence every facet of crop life and the diverse methodologies employed to evaluate these responses, we now embark on a journey into the mathematical heart of crop science. This chapter, Elementary Crop Growth Models,” will introduce you to the foundational concepts and simpler mathematical frameworks used to quantify, simulate, and ultimately predict how crops grow under varying environmental conditions. In the upcoming sections, we’ll delve into the fundamental building blocks of crop modeling. You’ll discover how these elementary models simplify the complex biological processes occurring within a plant to create manageable, yet insightful, representations. Unlike highly detailed mechanistic models, which require vast amounts of data and computational power, elementary models focus on capturing the most essential relationships between environmental drivers (like solar radiation, temperature, and water) and key aspects of crop growth, such as biomass accumulation or phenological progression. These simpler models serve as a crucial stepping stone. They allow us to grasp core principles of crop-weather interaction in a quantifiable way, providing practical tools for initial assessments, quick predictions, and conceptual understanding, without getting lost in the overwhelming complexity of every single physiological pathway. By understanding these foundational models, you’ll gain a clearer perspective on how agricultural scientists begin to predict the future performance of our food crops, even as the climate around them continues to evolve

Introduction

Most of the technological advances in the recent past in Indian Horticulture have been done for favourable agro-climatic regions. However, the vast and diverse land-scape of hot desert, arid, semi-arid and tribal area is not yet receiving logical thought for resource based horticultural development (Samadia and Haldhar, 2017). Although, the semi-arid regions of the country have now became potential hub for aonla, bael, ber, pomegranate, jamun, guava, fig and custard apple. There has been a steady increase in area and production of these fruits particularly under aonla, ber, custard apple and pomegranate in the country as a result of identification and development of suitable varieties and production technologies. The average productivity of these fruits in India is, however, low as compared to many developed countries. The main reasons for low productivity are old and senile orchards, low yielding varieties, poor orchard management and inadequate technological up-gradation and adoption by the growers. Presently, the continuing decline in the availability of cultivable land, rising energy and land costs together with the increased demand of fruit and fruit products, have given thrust to the concept of high density planting (HDP) in fruit crops. High density planting gives earlier production and return per unit area, shortens juvenility, eco-friendly, provides efficient land use and better use of resources like light, water and fertilizers, efficient pesticides application, besides, in this system the harvesting becomes easy(Mishra and Goswami, 2016). Among the factors such as cultivar, rootstock, quality of planting material and cultivation practices contribute to high yield of fruit trees, however, the number of trees^-1 is the most important factor which brings about radical increase in fruit production. Therefore, high density planting has great potential for increasing productivity in fruit crops (Mishra et al., 2003). The success of this technology in most of the fruit crops is dependent on the use of methods to control shoot growth and maximize light interception as the trees begin to bear fruit. The main aim of HDP is to achieve the twin requisites of productivity by maintaining a balance between vegetative and reproductive growth without impairing the plant health and fruit quality. The underlying principle of HDP is to make the best use of vertical and horizontal space per unit time and to harness maximum possible return per unit of inputs and natural resources.

Circular economy principles provide a framework for developing materials that minimize resource consumption and waste while maintaining functional performance throughout their life cycle. This chapter examines the development of green nanocomposites through sustainable sourcing, circular material design, appropriate processing technologies, and functional enhancement. It discusses strategies for selecting renewable raw materials, designing composites for circularity, applying nanotechnology to improve performance, and evaluating environmental impacts through life-cycle assessment. Applications of sustainable green nanocomposites and challenges in implementing circular economy principles are also considered. The chapter concludes by highlighting future innovations in synthesis, design, processing, and evaluation needed to expand the contribution of green nanocomposites to global sustainability.

Abstract

Remotely sensed data have become the primary realistic source for natural resources and biomass estimation, since last 30 decades. A summary of earlier research on remote sensing and GIS based biomass estimation approaches and a discussion of existing issues prompting biomass estimation are very valuable for further improving biomass estimation performance with the integration of geographical information systems. This paper discusses the recently most accurately alternative research methods to integration of remote sensing and GIS applications for identification, characterization and analysis of biophysical characters. The remote sensed data and geographical information systems using the accurate assessment of natural resource and management for the enhancement of biomass production and estimation. There is not any other option for the perfectly biophysical and natural resources estimation in small to large area. The earlier research has demonstrated that biomass estimation remains a challenging task, especially in those study areas with complex forest and mixed traditional cropping systems and environmental conditions. Either optical sensor data or radar data are more suitable for forest sites with relatively simple forest stand structure than the sites with complex biophysical environments. A combination of spectral responses and image textures improves biomass estimation performance. More research expertise is needed to focus on the integration of remote sensing, GIS& GPS, the use of multisource data, and the selection of suitable variables and algorithms for biomass estimation at different scales. Understanding and identifying major uncertainties caused by different stages of the biomass estimation technique and applying strength of mind to reduce these uncertainties are critical.

Keywords : Integrating, Remote Sensing, Bio-physical, Resources, Environment

While Chapter 2 focused on how abiotic (non-living) factors like weather directly influence crops, this chapter explores the impact of biotic (living) factors that interfere with crop growth, development, and yield. Critically, we will also examine how meteorological conditions play a significant role in the prevalence, spread, and severity of these interferences. Biotic interferences refer to the detrimental effects of living organisms on cultivated crops, leading to reduced yield, quality, or even complete crop failure. The three main categories are pests, diseases, and weeds (Fig. 3.1).

Pests are organisms, primarily insects and mites, but also nematodes and some vertebrates, that directly damage crops by feeding on them, laying eggs in them, or transmitting diseases.

In this era of computer, mathematical models become integral part of hydrologic studies due to advancement in soft technology. But question always arises as ‘Why should modeling?’ It was well expressed by Rosenblueth and Wiener (1945) as

No substantial part of the universe is so simple that it can be grasped and controlled without abstraction. Abstraction consists in replacing the parts of the universe under consideration by a model of similar but simpler structure. Models, formal or intellectual on the one hand, or material on the other are thus a central necessity of scientific procedure.

Abstract

Geographical Information Systems (GIS) application in plant genetic resource management allow capture, manipulate, process and display of georeferenced data integrated with genetic resource database for operations such as query and statistical analysis, visualization and geographic representation. GIS based several spatial tools have been developed that model species’ ecological niches finding a relationship between crop or variety with a set of environmental parameters and useful for planning exploration, evaluation trials, in situ and ex situ conservation sites. GIS technologies have direct practical application in elucidation of genetic, ecological and geographic patterns in the distribution of crops and wild relatives; mapping of richness, diversity, distribution of useful traits and, location of areas with complementary diversity; gene bank information management and strategies for future explorations and gap analysis; selection of suitable accessions/sites for ex situ evaluation; searching germplasm for abiotic stress tolerance and developing core collections. With the increasing availability of high- speed computers and software development in the area of GIS tools specific to PGR management increasing trend in application of these is expected. Apart from ecogeographic survey for locating diversity and germplasm collection and design, management and monitoring of in situ reserves, introduction of new varieties, and development of core collection, locating gene donors for biotic and abiotic stresses are the areas to be benefited with the GIS application.

Keywords: GIS, genetic resource, distribution, diversity, core collection, gap analysis, mapping