eChapters

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).

The bio-resources application in the soil is known to improve the biological properties of the soil. Several earlier reports show a spur in microbial populations or increased microbial biomass carbon and the enhanced enzymatic activities with the incorporation of bio-resources in soil (Perucci, 1990; Goyal et al., 1993; Bonde et al., 2004).

Microbial populations

Indigenous microbial populations in soil are of fundamental importance for an eco system functioning, through determining nutrient cycling, organic matter decomposition and energy flow (Doran and Zeiss, 2000).

Introduction

The interest in soil as a natural body originated from its ability to produce and sustain crops. The scientific study of soil probably started in the mid-nineteenth century and was dominated by geologists, chemists and plant physiologists. Justus von Liebig (1840) in his famous publication, Chemistry Applied to Agriculture and Physiology, put forward the theory that plants assimilate mineral nutrients from soils which varied in their capacity of nutrient supply. The ‘Law of Restitution’ propounded by him states that whatever is being taken by plants from the soil needs to be restored to maintain the nutrient supplying capacity of the soil.

The word ‘remote sensing’ was coined by Evelyn L. Pruitt, an American Geographer in 1960. Remote sensing is defined as collection and interpretation of information about a target without being in physical contact with it. Remote sensing is the science and art of obtaining information about an object, area or phenomenon through the analysis of data acquired by a device that is not in contact with the object, area or phenomenon under investigation (Lillesand and Keifer, 1994).

The information needs a physical carrier to travel from the objects/events to the sensors through an intervening medium. Any force field such as gravity, magnetic or electromagnetic could be used for remote sensing. However, the electromagnetic radiation is conventionally used as an information carrier in remote sensing. Remotely sensed data may be gathered by different devices, including sensors, film cameras, digital cameras and video recorders. Instruments capable of measuring electromagnetic radiation are called sensors.

Remote sensing is nothing but opposite of astronomy. In astronomy, man looks from the earth to the sky to understand and gain more knowledge about the celestial objects. But remote sensing refers to going upward in the sky to look downwards to understand and gain more knowledge about terrestrial objects. In remote sensing, the aerial sensor technologies are used to detect and classify objects on earth by means of electromagnetic radiation.

Unsupervised classification is the technique of classification of raster data in which no prior information is provided by the user. Raster data is classified based on their spectral characteristics such that the pixels having similar spectral properties in the multispectral feature space are grouped together in one class. Unsupervised classification is mainly performed by clustering algorithms. The purpose of these algorithms is to minimize within cluster variability and maximize between clusters variability. The user must interpret and label the classes after performing unsupervised classification. This method of classification requires minimum data which makes it easy and quick, but user has toput efforts in identification of the classes. This method could be useful when user doesn’t have any prior knowledge about the study area. This method removes subjectivity and enables us to get the unique classes which might be unrecognized by the user. K-means is the most commonly used method for performing unsupervised classification. In this chapter, we have discussed K- means, CLARA and unsupervised random forest method for classification of raster data in R.

Introduction

Problem soils are those that impede agricultural productivity owing to mineral stress, dryness, acidity, sodicity, waterlogging, etc. Vertisol, acid sulphate soils, saline-sodic soils, peat soil, and fine textured alluvial soils were the categories Beek et al., (1980) used to group the problematic soils. In addition to vast areas where deficiencies of zinc, phosphate, and iron, or excesses of iron, aluminium, and manganese limit rice yields, Ikehashi and Ponnamperuma (1978) observed that approximately 100 million hectares of land that are physiographical and climatically suitable for rice lie idle due to the soil toxicities caused by salt, alkali, acid, or organic matter. Problem soils can be broadly defined as those that have unfavourable conditions whether natural or artificially created that severely restrict the successful development of crops. Soil profiles with high groundwater levels and a less permeable argillic layer, degraded soils, sandy soils with low fertility, coastal soils that frequently flood, and laterites could all be categorised as problem soils. Without taking into account related soil functions, soil health is evaluated independently. It is also based on the f indings from a few soil tests for different criteria. 2015 has been recognized the International Year of Soils by the 68th UN General Assembly in recognition of the importance of soil health in all dimensions.

Soil is the fundamental resource in the agricultural production systems and monitoring its fertility is critical to the sustainability of agriculture. Plant nutrients undergo different transformation processes through which they are converted from unavailable to available forms. Nutrient cycling thus involves the transformation and availability of nutrients and is mediated by microbial action. Understanding the dynamics of nutrient and soil organic matter transformations requires an understanding of the biological, chemical, and physical processes involved.

7.1. Soil Nitrogen

Chapter 6 delves into the critical role of monsoon rainfall in shaping the economies and lives of numerous countries across the globe. While the concept of a country being only dependent on monsoons is a simplification, this chapter focuses on regions where the seasonal monsoon rains are the paramount source of freshwater for agriculture, industry, and daily life. These monsoon-dependent nations, predominantly located in South Asia, Southeast Asia, Australia, parts of Africa, and even areas of South America, experience a dramatic annual cycle of wet and dry periods dictated by the shifting monsoon winds. The arrival and intensity of the monsoon rains are not merely meteorological events; they are pivotal determinants of agricultural yields, food security, economic stability, and the overall well-being of billions of people. Given this profound dependence, accurate and timely forecasting of monsoon rainfall is of paramount importance. The second part of this chapter explores the current state of the art in monsoon forecasting. We will examine the sophisticated methodologies and technologies employed by meteorological agencies and research institutions worldwide to predict the onset, duration, intensity, and spatial distribution of monsoon rains. This includes an overview of empirical models leveraging historical climate data, the increasing reliance on complex dynamical models that simulate atmospheric and oceanic processes, and the integration of advanced statistical techniques like Bayesian methods and downscaling to enhance forecast accuracy and regional specificity. Understanding the strengths and limitations of these cutting-edge forecasting techniques is crucial for effective water resource management, agricultural planning, disaster preparedness, and ultimately, for building resilience in monsoon-dependent regions.

Abstract

The art of remote sensing has opened up many vistas in the study of river migration as satellite photographs, both in their normal and digitally enhanced modes, vividly show the rivers and their migratory signatures. The rivers migrate for various reasons amongst which tectonic movement is one of the main causes. In the present study an attempt has been made to exhibit the palaeochannel network of the rivers of Western India and integrate them with lineament fabric, so as to understand the Quaternary tectonics of the region. The study has shown that Western India shows considerable signs of Quaternary tectonics.

Atmospheric temperature refers to the measure of the warmth or coldness of the air at different levels within the Earth’s atmosphere. It’s not a uniform value but varies significantly with altitude and location. More detailed descrption of atmospheric temperature is as follows:
• Different Layers, Different Temperatures: The Earth’s atmosphere is divided into several layers (troposphere, stratosphere, mesosphere, thermosphere, and exosphere), and each layer has a distinct temperature profile. For example, the troposphere (where we live and where weather occurs) generally gets colder with increasing altitude, while the stratosphere above it gets warmer due to the absorption of ultraviolet radiation by the ozone layer.
• Surface Temperature: When people talk about the “temperature” in daily life, they usually refer to the temperature of the air near the Earth’s surface, which is measured at meteorological stations.
• Global Average: Climatologists also use the concept of a “global temperature,” which is an average of temperature measurements taken at the surface, near-surface, or in the troposphere across the entire planet.

The capacity of soil to function as a vital living system, within ecosystem and land use boundaries, to sustain plant and animal production, maintain or 

enhance water and air quality, and promote plant and animal health (Doran and

Zeiss, 2000). A healthy soil may function is as follows:

• Sustain biological activity, diversity, and productivity

• Regulate, store of nutrients and cycle water and, decompose organic

matter

• Filtering and buffering, degrading, mineralizing, immobilizing, and

detoxifying organic and inorganic materials

• Inactivate toxic compounds, suppress pathogens, protect water quality,

and enhance catchment soil health.

Temperature stands as a fundamental environmental factor profoundly influencing the life cycle of crops, from the initial spark of germination to the final stages of maturation and yield formation. The thermal regime, encompassing the daily and seasonal patterns of temperature, dictates the rate of biochemical reactions within the plant, thereby governing the pace and efficiency of physiological processes crucial for growth and development.
This chapter, „Thermal Regime: Crop Growth and Development,“ will delve into the intricate relationship between temperature and the various phenological stages of crop plants. It will be explored how different cardinal temperatures – the minimum, optimum, and maximum thresholds – dictate the boundaries within which growth can occur and the rates at which developmental milestones are achieved. Understanding the impact of temperature on processes like photosynthesis, respiration, nutrient uptake, and ultimately, yield, is paramount for optimizing crop production in diverse environments.
Furthermore, we will examine the concepts of heat units or growing degree days, which provide a quantitative framework for predicting crop
development based on temperature accumulation. By appreciating how the thermal environment interacts with genetic potential and other environmental factors, we can gain valuable insights into crop suitability for specific regions, the timing of critical growth stages, and strategies for mitigating the adverse effects of temperature extremes.
This chapter aims to provide a comprehensive understanding of the thermal regime and its critical role in shaping the growth and development of our cultivated plants, laying the foundation for informed agricultural practices and improved crop management.

Real-time crop monitoring for efficient climate guidance extends beyond monsoon-dependent regions and holds significant importance in a global agricultural context. While the fundamental technologies and principles remain similar, the specific applications and benefits are tailored to the diverse agricultural systems and climates worldwide.
10.1. Global Applicability Across Diverse Agricultural Systems
• Rain-fed Agriculture (Beyond Monsoons): In semi-arid and arid regions globally, where rainfall is scarce and unpredictable, real-time monitoring of soil moisture and plant stress through remote sensing and ground sensors is crucial for optimizing the limited water resources and implementing drought management strategies (Fig.10.1).
• Irrigated Agriculture: Even in systems relying on irrigation, real-time monitoring helps optimize water usage based on actual crop needs and prevailing weather conditions, preventing over-irrigation and conserving water, a critical resource globally.
• Temperate and High-Latitude Agriculture: In these regions, real-time monitoring can track temperature fluctuations, frost risks (as you researched previously), and the impact of shorter growing seasons on crop development, allowing for timely interventions like frost protection or adjustments to planting schedules.
• Tropical Agriculture: Beyond monsoons, tropical regions often face challenges like high humidity and pest/disease pressure. Real-time monitoring of leaf wetness and other microclimate factors aids in targeted pest and disease management, reducing the need for broad-spectrum applications.

Among subtropical fruit crops mango, guava, bael and aonla are among the most important ones. The productivity of these crops is affected by many factors, among which diseases have their own economic significance. The crops use to suffer from a large number of diseases, however, economically important diseases having significance in agro-advisory are mentioned below.
Mango Wilt and Decline
The mango wilt disease caused by Ceratocystis fimbriata is one of the most devastating diseases (Shukla et al., 2015, 2018b, 2020; Shukla, 2020). Association of Berkeleomyces basicola and Lasidiplodia theobromae in wilt, decline and branch drying has also been observed. Symptoms: Ceratocystis infection on the trees causes dark staining of the affected wood, exudation of gum, leaf drying and ultimately death of the tree (Al Adawi et al., 2003; Shukla et al., 2018b). Later symptoms include vascular discolouration beneath the gummosis (Masood et al., 2008; Shukla et al., 2018b). The symptoms may appear in the form of sudden wilt, decline or branch drying and accordingly the whole tree or branch may die within a period of a fortnight to six months of appearance of first symptom.

Precipitation is a vital component of the Earth’s water cycle, playing a crucial role in shaping our climate, weather, and ecosystems. It occurs when water vapor in the atmosphere condenses and falls to the ground as rain, snow, sleet, or hail. Precipitation is a key driver of weather patterns, influencing everything from local weather events to global climate trends.
In this chapter, we will explore the various forms of precipitation, including rain, snow, sleet, and hail, and examine the factors that influence their formation and distribution 
We will also discuss the importance of precipitation in sustaining life on Earth, from supporting plant growth and agriculture to shaping landscapes and ecosystems. Key topics to be discussed are:
• Forms of precipitation (rain, snow, sleet, hail)
• Precipitation processes (formation, distribution, intensity)
• Factors influencing precipitation (temperature, humidity, wind patterns)
• Importance of precipitation (ecosystems, agriculture, water resources)
• Precipitation measurement and prediction (methods, challenges, applications)

Climate normals for crops and livestock refer to the long-term average weather conditions, such as temperature, precipitation, and humidity that are suitable for specific crops and livestock in a particular region. These normals help farmers and agricultural planners understand the typical climate conditions that support optimal growth, productivity, and health of crops and livestock. By knowing the climate normals, farmers can make informed decisions about:
• Crop selection and breeding
• Planting and harvesting schedules
• Livestock management and breeding
• Irrigation and water management
• Pest and disease management
15.0. Crop Weather Calendars
A Crop Weather Calendar (CWC) is a valuable agrometeorological tool used to align the crop growth stages with prevailing weather conditions to optimize agricultural practices. It helps farmers, extension workers, and planners make informed decisions by integrating weather information with the crop‘s physiological needs (Fig. 15.1).

7.1 Economics and Valuation of ghgs emissions

Since the late 20^th century, it has been largely accepted that cause of high concentration of GHGs in atmosphere is induced by human activities. Greenhouse gas emissions and related climate change has opened up debate on overall economic losses and ways to reduce these loses. Moreover, apart from curbing monetary losses; the global political leaders as well as reputed economists are looking towards making money by saving the emissions. Recently, the researchers have started to emphasize on the actual value added to the ecosystem by curbing emissions, discrete of the economic benefits. This section will discuss the economics and ecosystem services related to the management of GHG emissions.

Origin

The initiative to curb the emissions started in 1992 with the United Nations Framework Convention on Climate Change (UNFCCC) at the Earth Summit in Rio de Janeiro. The Convention took place from 3 to 14 June, 1992. The UNFCCC is an international environmental treaty designed to “stabilize greenhouse gas concentrations in the atmosphere at a level that would prevent dangerous anthropogenic interference with the climate system”. The UNFCCC had non-binding limits on greenhouse gas emissions for individual countries and the framework was only meant for formulating precise international treaties (called “Protocols” or “Agreements”). It contained no execution mechanisms, however, it considered some negotiations and suggestions to formulate the action plans and regulation guidelines under UNFCCC to fulfill the objective of reduction of GHG emissions to the desired level.

Abstract

The art of remote sensing has opened up many vistas in the study of river migration as satellite photographs, both in their normal and digitally enhanced modes, vividly show the rivers and their migratory signatures. The rivers migrate for various reasons amongst which tectonic movement is one of the main causes. In the present study an attempt has been made to exhibit the palaeochannel network of the rivers of Western India and integrate them with lineament fabric, so as to understand the Quaternary tectonics of the region. The study has shown that Western India shows considerable signs of Quaternary tectonics.

This chapter describes about the review of relevant researches related to the present study. This also helps in developing conceptual framework and selecting proper methodology for the study. Although studies have been conducted on different aspects of conservation agriculture in past, but a few reviews were available on social ecology and perceptional change of the farmers in managing critical inputs to agriculture like water, nutrient and soil organic carbon, and ecosystem as a whole. So, reviews having a little indirect bearings are also included in this section. In accordance with the subject of the proposed study, the review of literature has been presented under the following sub-heads:

Introduction Large cardamom is an important cash crop cultivated in Sikkim. It is also cultivated in Darjeeling district of West Bengal and some parts of North-eastern state like Arunachal Pradesh, Nagaland and Manipur. It is a low volume, high value non-perishable crop grown organicallyat different altitudes under the trees. The State produces about 4,970 tonnes annually from an area of 23,312 hectares (Spice board, 2021). Among the four districts of Sikkim, North and East Sikkim district contributes largest in terms of area and production of large cardamom (GoS, 2016). Off-late, climate change has become a major concern for the large cardamom growers as many researchers reported its contribution to the decline of its production. Sikkim, as Himalayan states, is endowed with varied agro-climate ranging from tropical in the South to alpine in the North. Shrestha et al. (2010) reported that warming in the Himalayas was between 0.15°C and 0.60°C per decade in the last three decades. Seetharam (2012) revealed that in Gangtok, there is a decreasing trend in maximum temperature while an increasing trend in minimum temperature. The study also depicted the decreasing trend of annual rainfall amount in the study area. In a recent study, Kumar et al. (2020) reported that the warming was more prominent in the last decades in Gangtok and Tadong station, better reflected in the minimum temperature with varied precipitation across the observed period from 1961 2017.