eChapters

Introduction 
Chapter 15 provides a comprehensive analysis of climate change and its profound effects on agriculture and global food systems. This chapter delves into the science of climate change, focusing on its impacts on agricultural practices, climate-smart strategies, and the role of specialized climate change centers and institutes. The chapter begins with an exploration of the impacts of climate change on agriculture, detailing how shifts in temperature, precipitation patterns, and extreme weather events affect crop yields, livestock production, and overall agricultural productivity. It highlights the vulnerabilities of different agricultural systems and regions to climate change. Climate-smart agricultural practices are central to adapting to and mitigating the effects of climate change. This section covers adaptation strategies, such as adjusting planting dates, diversifying crops, and improving water management. It also addresses mitigation strategies, including reducing greenhouse gas emissions through sustainable farming practices and enhancing carbon sequestration in soils. Adaptation and mitigation strategies are discussed in detail, with an emphasis on how these approaches can be integrated to address climate change comprehensively. The interplay between adaptation (adjusting to changing conditions) and mitigation (reducing the root causes of climate change) is examined, emphasizing the need for balanced and coordinated efforts. The chapter underscores the importance of climate change centers and institutes in addressing food security. These institutions play a crucial role in research, policy development, and the implementation of climate-smart practices. They provide valuable data, tools, and guidance for managing the impacts of climate change on agriculture. The impact of climate change centers and institutes on global warming is analyzed, focusing on how these organizations contribute to reducing greenhouse gas emissions and enhancing adaptive capacity. Their role in advancing climate science and supporting climate action is highlighted. Modern concepts in climate change centers and institutes are reviewed, showcasing innovative approaches and technologies that are shaping the field of climate science and its application to agriculture. The chapter concludes with strategies for combating food security and global warming challenges. It emphasizes the need for continued research, international collaboration, and the adoption of effective climate-smart practices to ensure sustainable agricultural systems and enhance global food security.

The greenhouse technology is all about the controlling of ambient climatic factors to create a favourable ‘micro-climate’ for the crop growth. The magnitude of such control may differ from minimal to maximum. It may control single (like rain) to multiple aspects (like rain, temperature, humidity, sun-light, wind, carbon-di-oxide, etc in combination). It can simply be done by manipulating natural factors using the suitable/appropriate design of the greenhouse or can be done in complex form by using/installing different devices and packages (may be software) with necessary automation in a specifically designed greenhouse.

It is a vast subject and very difficult to have a thumb-rule for such climate control mechanism due to seasonal climatic variations and most importantly due to the inter-relation effect between each and every climatic factors. Thus, it should be given sufficient space to maneuver the mechanism designed for a specific greenhouse targeting a specific crop.

Ways to control these climatic factors in a greenhouse

There are two basic ways to control the climate inside greenhouse.

Primarily, through a suitable design of the greenhouse itself, the inside microclimate can be controlled, obviously up to a certain level. Through manipulation of the design, particularly the naturally ventilated system, the rain water, temperature, humidity, CO_2, wind, etc can be controlled up to a certain level in favour of the crop.

Secondarily, by introducing equipments, tools, devices, etc we can control the micro-climate of a greenhouse. In most cases, it can take care of a number of climatic factors, like temperature and humidity, sun-light and temperature, etc simultaneously to provide a crop-wise micro-climate inside.

Frequently we use both the basic controlling methods, in combination, to achieve the required climate control system in a particular greenhouse.

We have already discussed about the different climatic factors that affect the crop micro-climate. Now we will discuss the basic control mechanism of each and every climatic factors and the related technology that can be utilized for greenhouse.

7.1 Introduction

Water is one of the most essential natural resources of the planet. Water is also the most critical resource for sustainable development in most of the developing countries. The quantities that are needed for drinking and sanitation purpose of humans are relatively small, and much larger quantities of water are required for many other purposes. It is essential not only for agriculture, industry and economic growth of a country, but also it is the most important component of the environment and ecosystem, with significant impact on overall wealth and nature conservation. Agricultural and industrial activities critically depend on a sufficient amount of fresh water that is withdrawn from rivers, lakes and groundwater aquifers. Currently, the rapid growth of world population along with the extension of irrigation dependent agriculture, development of industrial sector and climate change are stressing the quantity and quality of the natural water systems. Due to the increasing problems, human have begun to realize that they can no longer follow “use and discard” methodology either with water resources or any other natural resources. As a result, the need for water management has become evident. Climate change has already started to affect the hydrological cycle and the availability of freshwater for agriculture. So, proper water management practices play crucial roles in the food production and the management of ecosystems. Over the last century global irrigated area has increased more than sixfold from approximately 40 million hectares in 1900 to more than 260 million hectares in 2000. Today more than 40% of the world’s food comes from the irrigated cropland which is 18% of the total cultivated crop land. Irrigated area is increased by almost 1% every year and the demand for irrigation water will increase by 13.6% by 2025 (Jensen, 1993). On the other hand about 8-15% of fresh water supply will be diverted from agricultural sector to meet the increased demand of domestic and industrial use. On the other hand the efficiency of irrigation is very low, only 65% of the applied water is used by the crop (Fig. 1). So, to overcome shortage of irrigation water for agriculture, it is essential to increase the water use efficiency in the crop field and to use marginal water for irrigation.

Many aspects of the global climate are changing rapidly. Evidence for changes in the climate system abounds, from the top of the atmosphere to the depths of the oceans. The climate system is the highly complex system consisting of five major components; the atmosphere, the hydrosphere, the cryosphere, the land surface and the biosphere, and the interactions among them. The climate system evolves in time under the influence of its own internal dynamics and because of external forcings such as volcanic eruptions, solar variations and human-induced forcings such as the changing composition of the atmosphere and land-use.

The term ‘climate variability’ is often used to denote deviations of climatic statistics over a given period of time (e.g., a month, season or year) from the long-term statistics relating to the corresponding calendar period. In this sense, climate variability is measured by those deviations, which are usually termed anomalies.

‘Climate change’ refers to a statistically significant variation in either the mean state of the climate or in its variability, persisting for an extended period (typically decades or longer). Climate change may be due to natural internal processes or external forcings, or due to persistent anthropogenic changes in the composition of the atmosphere or in land use. The United Nation’s Framework Convention on Climate Change (UNFCCC) defines ‘climate change’ as ‘a change of climate behaviour which is attributed directly or indirectly to human activity that alters the composition of the global atmosphere and which is in addition to natural climate variability observed over comparable time periods’. The UNFCCC thus makes a distinction between ‘climate change’ attributable to human activities altering the atmospheric composition, and ‘climate variability’ attributable to natural causes. Climate change is a long-term shift in weather conditions measured by changes in temperature, precipitation, wind, snow cover, and other indicators. It can involve both changes in average conditions and changes in variability, including, for example, changes in extreme conditions.

A key difference between climate variability and change is in persistence of ‘anomalous’ conditions. In other words, events that are used to be rare occur more frequently, or vice versa. Occasionally, an event or sequence of events occurs that has never been recorded before, such as the exceptional tsunami in the Indian Ocean in 2004 or hurricane season in the Atlantic in 2005. Yet even that could be a part of natural climate variability. If such a season does not recur within the next 30 years, by looking back it could be called as an exceptional year, but not a ‘climate change’. Only a persistent series of unusual events taken in the context of regional climate parameters can suggest that a potential change in climate has occurred.

Climate change presents horticulture with increasing challenges including heat stress, water scarcity, erratic rainfall, extreme weather, new pest pressures, and changing crop suitability. This chapter examines strategies for developing climate-resilient horticultural systems through improved cultivars, efficient irrigation, protected cultivation, mulching, canopy management, soil-health practices, and diversification. Climate-smart production also requires better forecasting, monitoring, risk management, and resource efficiency. Future horticulture is expected to integrate biotechnology, artificial intelligence, precision agriculture, automation, renewable energy, and resilient production systems. The chapter emphasizes adaptation rather than dependence on a single technology, promoting integrated approaches that maintain productivity, quality, profitability, and ecological sustainability under changing climatic conditions.

In provincial areas of non-industrial nations, over 70% of the populace actually relies upon agriculture . Be that as it may, financial emergencies, informal land distribution and Climate change issues have ruined endeavored gains in agricultural efficiency and related rustic improvement results. Innovation pushed advancement has generally driven farming to the brink of another improvement that can influence plant variety and yield, yet additionally climatological and financial results. The idea of economical agriculture has become progressively advocated as examination and cultivating networks accept that efficiency with natural and social outcomes should be sensibly adjusted. Agriculture of created countries has basically benefitted of this idea overall during the 1990 s. To find success around the world, broad exploration should be led not just for enormous scope farmers in created countries yet additionally for limited scope ranches in agricultural countries. Climatic smart agriculture saves biodiversity by taking on sound, multifunctional, and multi-trimming approach through plan arranged spatial preparation and stream among them. Here, a spatiotemporal information driven worldview for detecting observing and coordinating agricultural Climate has been proposed to upgrade the utilization of Climatic smart agriculture framework. As an excursion towards maintainable coordinated cultivating, computerized farming offers different open doors for universal systems administration and computerized resources through information sway. The exploration issues are basically worried in the combination of different information archives with administration information, open access information, institutional information, and space explicit information from end clients. Because of the mix of heterogeneous sensors and advanced stages in agriculture, the information typology is getting more extravagant, and how much information is continually expanding.
Feedstocks assume a significant part in the comprehensive advancement of non-industrial nations that depend vigorously on agriculture. It has been standard that farmers must be actually present on their fields during each

Climate change and resource scarcity require farming systems that anticipate risks and make proactive decisions. This chapter explains how predictive modelling, artificial intelligence and IoT technologies can strengthen climate-smart agriculture. Statistical techniques, Convolutional Neural Networks, Long Short-Term Memory networks and Transformer models are examined for forecasting weather, crop performance and resource requirements. These tools can improve irrigation and fertilizer management, raise productivity and reduce environmental impact. Adoption remains constrained by poor-quality data, infrastructure deficiencies, cost, limited interpretability and unequal access to digital technology. Farmer-centred design, federated learning, gradual deployment and scalable systems are recommended for developing fair, practical and climate-resilient agricultural solutions.

Different crops are grown over a wide range of agroecosystems. Though the crops are raised in varied climates, ranging from very hot to very cold, and very wet to very dry, across temperate, tropical and semiarid zones, they are very sensitive to climate. The crop production is dependent on climatic parameters like rainfall, light, temperature, relative humidity and carbon dioxide concentration. Each kind of cultivated crop plants has its own optimum growth requirements. Breeding and selection of new cultivars have allowed for a greater adaptability to less favourable growing conditions than was possible in the past, but the inherent climatic requirements of a specific kind of crop have not changed materially. Crop management is therefore very much about managing climate risk so as to have financially viable and sustainable agricultural systems. Professor Henry Nix of the Australian National University posed three questions that need to be addressed when considering what crop can be grown where (Nix, 1981).

Climatic statistics applies quantitative methods to weather and climate observations, transforming raw records into information for forecasting, planning and resource management. This chapter explains how averages, variability, distribution, trends and extremes describe climatic behaviour over time and space. It introduces climate normals, measures of central tendency, dispersion, skewness, kurtosis, data quality, missing-value treatment, homogenization and outlier detection. Statistical interpretation helps distinguish short-term weather fluctuations from long-term climatic patterns. In agriculture, these techniques support crop planning, drought assessment, rainfall characterization and risk management. The chapter establishes the statistical foundation required for scientifically examining climate variability and its influence on crops, ecosystems and agricultural resources.

Clouds are visible mass of little drops of water or frozen crystals suspended in the atmosphere above the surface of the earth. The World Meteorological Organisation defined cloud as a visible aggregate of minute particles of water or ice or both, in the free air. This aggregate may include larger particles of water or ice and particles such as those present in fumes, smoke or dust.

Clouds are the most important form of suspended water droplets caused by condensation. The typical size of these water droplets and ice crystals range from less than 1 μm to 50 μm. When surrounded by billions of other droplets or crystals, they become visible as clouds. In the atmosphere sufficient moisture is required to allow condensation to take place. Then, moisture needs a suitable surface upon which it can condense. In free air, condensation begins on hygroscopic nuclei such as aerosols. These are microscopic particles and include dust, smoke, salts and chemical compounds. Nuclei range in size from 0.001 μm radius to over 10 μm. On an average, oceanic air contains one million condensation nuclei per litre and land air holds some 5 or 6 millions. On hygroscopic particles such as sea salts, condensation can begin before the air is saturated. Supersaturation in clouds rarely exceeds one per cent. On an average, clouds contain only four per cent of the total water in the atmosphere at any one time. Almost all clouds exist in the troposphere, although the tops of some severe thunderstorms occasionally extend to the stratosphere. Clouds move along with the wind and remain stationary in calm winds. They grow vertically and horizontally, depending on the temperature of the cloud and its ambient temperature. They may dissipate or precipitate. Under favourable atmospheric conditions, they burst and fall as rain.

3.1.1. Introduction

Clutch is a device which is used to connect and disconnect the tractor engine from the transmission gears and drive wheels. It is fitted in between the engine and gear box. The clutch transmits power by means of friction between driving members and the driven members.

10.1. Co-operative marketing

Private agencies dominate Indian food grains trade.

High marketing charges and prevalence of malpractices.

Progress of regulated markets is not uniform in all areas.

Need for strengthening co-operative organization in marketing of farmers produce and supply inputs at right price and time.

Moisture Content
 
Two maximum moisture levels are provided to meet different climatic conditions and marketing practices. Lower values in the first column are suggested for countries with tropical climates or when long-term (more than one crop year) storage is a normal commercial practice. The values in the second column are suggested for more moderate climates or when other short term storage is the normal commercial practice.

Data collected by using different data collection methods remain meaningless until it is screened, cleaned, coded, analyzed and summarized. Data cleaning and screening mostly come under the purview of statistical logics and techniques hence not dealt with in this practical guide. Since these aspects will be dealt by the statistical experts from the allied statistical wings. Presuming that students are aware about data cleaning and screening, we will proceed further with data coding.

Cold chain logistics refers to the technology and processes that ensure the safe transportation of temperature-sensitive goods throughout the supply chain. It is deeply rooted in scientific principles, assessing the relationship between temperature and perishability to maintain product integrity.
Any item categorized as “perishable” typically requires cold chain management. This includes food products such as meat, seafood, and fresh produce, as well as medical supplies and pharmaceuticals.
Although, modern transportation is a relatively recent development, the  practice of moving temperature-sensitive products dates back to the late 1700s when the British used ice to preserve fish. By the late 1800s, ice was widely used to transport perishables. Dairy products were shipped from rural areas to urban markets. Cold chain technology has long been a crucial component of global trade and will continue to play a vital role in the future.
COLD CHAIN LOGISTICS
A cold chain is a specialized supply chain designed for handling perishable and temperature-sensitive goods, commonly referred to as cool cargo. These include fresh produce, meat, dairy, seafood, chemicals, pharmaceuticals, flowers, wine, and other delicate products. To preserve the quality and integrity of these perishable items, specific lowtemperature conditions must be maintained throughout the supply chain. Certain products require refrigeration; others must be kept frozen, while some demand extreme conditions—often referred to as an ultralow chain or deep freeze. Any failure to maintain the appropriate temperature can result in product spoilage, compromising safety and quality, and ultimately leading to significant financial losses.

Cold plasma technology represents an innovative non-thermal approach for improving food safety while minimizing undesirable changes associated with conventional heat treatments. This chapter introduces the fundamental principles of cold plasma and explains how reactive species generated during plasma treatment can contribute to microbial inactivation and food decontamination. It examines major plasma-generation methods, including dielectric barrier discharge, corona discharge and microwave plasma systems. The chapter highlights the potential of cold plasma for preserving nutritional and sensory characteristics while reducing microbial hazards. It also considers technological challenges such as treatment uniformity, interactions between plasma and food matrices and the need for process optimization and regulatory validation for wider industrial adoption.

Soil testing identifies various constraints in soil that limit crop production. Fertilizer recommendation and soil management practices to be adopted are based on the soil test report. Soil testing starts with collection of soil samples from the field
and ends with interpretation of soil test results leading to necessary recommendations for increasing crop production.

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