eChapters

Cloud has been defined as a visible aggregation of minute water droplets and / or ice particles in the air, usually above the ground level.

CLASSIFICATION OF CLOUDS

Though confusion apparently arises from the number of kinds or species, the genera seems reasonably clear out, if we are able to recognize their main characteristics.

Clouds are usually classified according to their height and appearance. For convenience, we list them in descending order. High clouds, middle clouds and low clouds are some forms do not fit in any of these categories. But fortunately their particular characteristics make them easily identifiable as vertical development clouds. We must exercise some caution in studying on height. There is some seasonal as well as latitudinal variation and there is some overlapping from time to time. However, the appearance of clouds is quite distinctive for each height category.

The classification of crop diseases is a fundamental aspect of plant pathology, as it provides a framework for understanding the causes, symptoms, and management of diseases that affect crops. Classification is the process of grouping organisms or diseases into categories based on their shared characteristics, and it is essential for developing effective disease management strategies. Crop diseases can be classified in various ways, including by their causes, symptoms, hosts, and environmental factors. Understanding the classification of crop diseases is crucial for farmers, agricultural professionals, and researchers, as it enables them to identify diseases accurately, select appropriate management strategies, and develop new control methods. One of the primary ways to classify crop diseases is by their causes, which can be broadly categorized into infectious and non-infectious diseases. Infectious diseases are caused by living organisms, such as fungi, bacteria, viruses, and nematodes, while non-infectious diseases are caused by environmental factors, such as temperature, moisture, nutrient deficiencies and some substances toxic to plants. Another way to classify crop diseases is by their symptoms, which can include visible changes in plant growth, color, or texture, as well as reductions in yield or quality. Symptoms can be categorized into different types, such as leaf spots, blights, wilts, and tumors, each of which is associated with specific diseasecausing agents. Classification of crop diseases can also be based on the host plant, with diseases being grouped according to the specific crop or plant species they affect. This type of classification is useful for developing crop-specific disease management strategies. In this chapter, we will explore the different classification systems used for crop diseases, including their causes, symptoms, hosts, and environmental factors. We will also discuss the importance of accurate disease classification for effective disease management and the development of new control methods. The broad classification of crop diseases followed uniformly throughout the world is based on the nature of the causal agent, and it categorizes diseases into two main groups: infectious diseases and non-infectious diseases.
5.1 Infectious diseases
These are caused by living organisms, such as fungi, bacteria, viruses, and nematodes, which can spread from plant to plant. These diseases can be further subdivided into several categories, including:

Fungal diseases are a significant threat to crop health and productivity worldwide, causing substantial economic losses and compromising food security. The development and spread of fungal diseases are influenced by a complex array of factors, including crop susceptibility, pathogen virulence, and environmental conditions. Among these environmental factors, weather plays a critical role in determining the severity and impact of fungal diseases on crops. Weather conditions, such as temperature, humidity, precipitation, and wind, can significantly affect the life cycle of fungal pathogens, including spore production, dispersal, and infection. For example, high temperatures and dry conditions can inhibit the growth and development of some fungal pathogens, while cool and wet conditions can favor their development and spread. Similarly, wind and precipitation can facilitate the dispersal of fungal spores, leading to the rapid spread of disease (Fig. 7.1). Understanding the impact of weather on fungal diseases is essential for developing effective disease management strategies. By recognizing the weather conditions that favor or inhibit the development of fungal diseases, farmers and crop managers can take proactive measures to prevent or mitigate disease outbreaks. This may involve adjusting planting dates, irrigation schedules, and fungicide applications to minimize the risk of disease. Furthermore, knowledge of the weather effects on fungal diseases can also inform the development of more accurate and reliable disease forecasting systems.

Bacterial diseases are a significant threat to human health, agriculture, and the environment. These diseases are caused by pathogenic bacteria that can infect various hosts, including humans, animals, and plants. The severity and spread of bacterial diseases are influenced by various factors, including weather parameters. Weather conditions, such as temperature, humidity, wind, and precipitation, play a crucial role in the development, dissemination, and survival of bacterial pathogens (Fig. 8.1). Fig. 8.1. Bacterial infection on soybean leaves Temperature, for instance, affects the growth and reproduction of bacteria, with optimal temperatures varying among different species. High temperatures can accelerate the growth of some bacteria, while low temperatures can slow it down or even kill them, however every pathogenic bacterium have its own weather window. For example, a daytime temperature of 35°C and nighttime temperatures of 27°C are most favorable for Xanthomonas oryzae infecting rice. Similarly, humidity influences the survival and dissemination of bacteria, with high humidity favoring the growth and spread of many bacterial pathogens. For example, lower soil moisture decreases the chances of infection of Ralstonia solanacearum in tomato plants. Wind and precipitation also impact the spread of bacterial diseases. Wind can disperse bacterial spores and cells, allowing them to reach new areas and infect new hosts. Precipitation, on the other hand, can influence the availability of moisture, which is essential for the growth and survival of many bacterial

Introduction

Cotton is a major commercial crop grown on nearly 12 m. ha area. About 65% of the area is rain dependent. It is grown on a wide range of soil types and climatic conditions. Soils supporting cotton in the rainfed areas are Vertisols (Vertic intergrades), Inceptisols and Alfisols. Rainfall ranges from 500-1200 mm in these regions. Both Alfisols and Vertisols have different potentials and problems but both need organic C improvement and soil moisture conservation measures to restore their productivity. This can only be achieved through resource conservation strategies. Conservation agriculture (CA) is one such strategy that focuses on resource conservation. It refers to a system of raising crops without disturbing the soil while retaining crop residues or soil surface. 

5.1. Nature and role of soil enzymes
    General account
    Role in terrestrial ecosystems
    Role in aquatic ecosystems

5.2. Environmental conditions and microbial enzyme activity

Land resources units or major land resources units are the suitable segmentations of land, based on available natural resources, their potential use and management. Irrespective of terms used by different organizations or institutes, these units have spatial dimension and represent a composite unit for interstate, regional, and national level planning. A typical meaning of these land units can be related to terms like land system. Christian and Stewart (1953) of the Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia devised the ‘Land system’ as the composite mapping-unit which has been defined as “an area or group of areas, throughout which there is a recurring pattern of topography, soils and vegetation”. This system is based on the premise that the land system is expressed on aerial photographs by a distinctive pattern and, as such, the land system can be directly mapped from aerial photographs (Christian and Stewart 1953, Mabbutt and McAlpine 1965). It is a fact that during those period, aerial photographs were more frequently used and studies related to land systems used technique of aerial photogrammetry. As per USDA (United States Developmental Agency), the typical segmentations are; (1) Land Resource Region (LRR), which is the highest level in the hierarchy (2) Major Land Resource Area (MLRA), the second highest level and generally representing broad landforms or a geologic region at a small scale and (3) the Land Resource Unit (LRU).

Soil fertility -importance

From edaphological point of view soil is a medium for plant growth. It holds and nourishes the plants. Soil fertility refers to the ability of soil to supply plant nutrients. Soil fertility and fertilizers are very much closely related terms; and cannot be neglected one from the other in their function. Soil fertility acts as a ‘SINK’ where in plants can draw nutrients for maximum productivity, where as fertilizer, acts as a ‘SOURCE’ wherein we can apply continuously different nutrients. The importance of soil fertility and nutrient management is being increasingly recognized in all countries recently to meet the demand for food and other agricultural raw materials. Intensive use of fertilizer, intensive cropping and high yielding seeds have no doubt increased the food production and reduced the food shortage but it has also ushered in innumerable problems of soil fertility, soil and water pollution. On the other hand, fast depletion of nutrients due to over exploitation, a wide spread deficiency of N, P, K and S coupled with micronutrients deficiencies specially Zn, B and Mo is taking place. Further deforestation, shifting cultivation, burning of crop residues, trees, bushes, grasses and cow dung, soil erosion, nutrient losses and imbalanced nutrient application, leaching losses etc., have aggravated the depletion of soil fertility status. The productivity of Indian agriculture solely depends on scientific management of soil fertility along with judicious and efficient use of fertilizers integrated with organic sources.

Introduction

Increasing carbon content in the soil, through better management practices, produce a number of benefits in terms of soil biodiversity, soil fertility and soil water storage capacity and hence productivity. Soil carbon sequestration through the restoration of soil organic matter can further reverse land degradation and restore soil “health” through restoring soil biota and the array of associated ecological processes. In particular, through improved soil water storage and nutrient cycling, land use practices that sequester carbon will also contribute to stabilizing or enhancing food production and optimizing the use of synthetic fertilizer inputs, thereby reducing emissions of nitrous oxides from agricultural land. Conservation tillage practices also reduce significantly the use of fuel and hence gaseous emissions. Soil carbon sequestration is thus very cost effective and could take effect very quickly (FAO, 2008). It also constitutes a valuable win-win approach combining mitigation (CO₂ is removed from the atmosphere) and adaptation, through both increased agro-ecosystem resilience to climate variability and more reliable and better yields (production and income generation). Under climate change scenarios, increased temperature may enhance soil organic matter mineralization in colder regions of the world, releasing carbon dioxide from soils (FAO, 2008). Improved soil management will mitigate the effects of global warming by improved and permanent soil cover. Soil carbon storage was hitherto left out of international negotiations because of envisaged difficulties of validation of amounts and duration/permanency of sequestration. 

9.1 Introduction

The rapid growth of industrialization and population significantly affect on the demand of ethanol as an alternate fuel. Generally, conventional crops like sugarcane and corn become unable to meet the demand of bioethanol, due to their primary role in food and feed. Therefore, lignocellulosic biomass from agriculture waste is attractive precursor for bioethanol production. Biomass is renewable organic material, abundant and cost effective. Ethanol production from agriculture waste has been projected an economically attractive option for industrial sector. However, sugar and starch derived ethanol have a more theoretical yield as compared to lignocelluloses, theses sources are insufficient for bioethanol production. The major agricultural wastes including rice straw, corn straw, wheat straw and sugarcane bagasse etc. can subsequently used for ethanol production. Rice straw has a highest worldwide potential for bioethanol production (205 giga liter) followed by wheat straw (104 giga liter), corn straw (58.6 giga liter), and finally for sugarcane bagasse (51.3 giga liter)¹.

A bio fuels is environmentally friendly options for power generation. Most of the fossil fuels are biological in nature. These are plant forms that, typically, remove carbon dioxide from the atmosphere and give up the same amount when burnt. The bio fuels are therefore considered to be “CO₂ neutral”, not adding to the carbon dioxide level in the atmosphere. The type of bio fuel used will depend on a number of factor, chief amongst them being the available feedstock and the energy that can be used locally.

India import 70% of the oil it uses, and the country has been hard by the increasing price of oil, uncertainty and environmental hazards that are concerned with the consumption of fossil fuels. In this context, bio fuels constitute a suitable alternative source of energy for India. There are two examples of bio fuels are Ethanol and Bio diesel (Renewable Diesel)

Ethanol can be made from biomass material containing sugar, starches, or cellulose (starch and cellulose are complex from of sugar)

Introduction

Soil organic carbon (SOC) content plays a key role in maintaining soil fertility in agricultural farm. At present, there has been great interest to reduce the atmospheric CO₂ level through a chain of increasing vegetation carbon pools first and then to store them as soil carbon pool. To quickly assess the soil carbon restoration programmes, it is important to know how much soil carbon is stored in an agricultural farm through adoption of different land management practices. Average SOC content is considered in most soil carbon pool calculations in spite of its large spatial variation in landscape, and thus leads to inaccurate estimate of SOC stock for an area. Therefore, reliable estimates of SOC pools and their spatial variability are essential to establish the soil carbon sequestration programmes at different landscape scales. Here, a case example of assessing the spatial variation at a typical agricultural farm is discussed. The experimental field was located at Badoda village of Jaisalmer district, Rajasthan covering an area of about 76.12 ha. The farm lies between 265^o2′30″-26°53′30″ N and 71°12′15″-71°13′15″ E (Fig. 24.1) and 20 km away from Jaisalmer city in eastward direction. Elevation of the farm ranged from 232 m to 248 m above mean sea level with an overall slope from south to north. Among total area of the farm, 85.38% area was under cultivation in four main blocks: block A, B, C, and D whereas rest area was under grassland.

5.1. Introduction

The energy equivalent can be considered to be an alternate energy unit, precisely related to units such as the joule, calorie, or Btu. In energy talks, many units are employed. They are divided into two categories: (a) basic units and (b) source-based units.

Groundwater is a precious renewable resource which gets replenishment from the precipitation. Total water resources of the world are estimated at 1.37 x 10⁸ million ha-m. Of these, about 97.2% is salt water, mainly in oceans, and only 2.8% is available as fresh water. And, out of this 2.8%, about 2.2% is available as surface water (2.1% is fresh water in glaciers and icecaps, 0.1% is available in lakes and reservoirs, 0.0001% in streams) and 0.6% is available as groundwater. Only 50% of groundwater resource is economically extracted with available technology. Presently, 1.3 x 10⁴ million ha-m fresh water in reservoirs and 41.1x10⁴ million ha-m groundwater is theoretically available to provide usable water for drinking, domestic use, irrigation, etc., to mankind. Groundwater is the largest source of fresh water excluding the polar icecaps and glaciers. The amount of groundwater within 800 m from the ground surface is over 30 times the amount in all fresh water lakes and reservoirs, and about 3000 times the amount in stream channels, at any one time.

Introduction

The deterioration of interior air quality brought on by dangerous chemicals and other factors is known as indoor air pollution, which can be up to 10 times worse than outside air pollution. This is due to the fact that confined spaces foster the buildup of potential pollutants more than do open spaces. In underdeveloped countries, statistics show that indoor air pollution has a far worse effect on health than outside air pollution. Indoor air pollution can be defined as ‘ the totality of attributes of indoor air that affects a person’s health and well-being’ ( Singh & Jamal, 2012). Indoor air pollution from solid fuels was to blame for 3.5 million fatalities, 16% of particulate matter pollution, and 4.5% of global daily-adjusted life years in 2010. (DALY).

Introduction

Salinity in India is a major issue affecting the sustainability of irrigated as well as non-irrigated areas particularly in the states of Rajasthan, Gujarat, Haryana, Uttar Pradesh, West Bengal and Orissa. Salt affected soils are unproductive unless excess salts are reduced or removed. These soils occur most extensively in arid and semi-arid climates, but these soils are also found in coastal sea areas where soils are unundated by ocean or sea water. Soils are said to be saline if they contain an excess of soluble salts and sodic or alkali if they contain an excess of sodium salts. Again soils are said to be saline-sodic or saline-alkali if they contain appreciable amounts of both soluble salts and sodium. The impact of salinity manifests itself in several ways. As the salinity increases, not only does the productivity decline but sensitive crops also go out of cultivation and are replaced by salt-tolerant, low value crops and other plant species.

Fertilizer

Fertilizers are defined as materials having definite chemical composition with a high analytical value that supply essential plant nutrients in available form. They are usually manufactured by industries and sold with a trade name. They are commonly synthetic in nature and also called as chemical fertilizers/inorganic fertilizers/commercial fertilizers other than lime and gypsum. Most of the chemical fertilizers are inorganic in nature.

Importance

Drought is a climatic anomaly characterized by deficient supply of moisture, which may result from sub-normal, untimely and unevenly distributed rainfall. Among the various hazards of nature, drought is one of the major disasters because it brings innumerable miseries to the mankind. Almost every year some part or the other of the country suffers from such calamities. Drought is a recurring phenomena and its occurrence cannot be avoided. However, its impact can be minimized through application of science and technology by developing drought management plans.

INTRODUCTION

The weather conditions during the growing season of crops influences the onset and development of disease. The relationship between weather and plant disease development is the basis for meteopathological forecasting. On the basis of observed or forecast weather conditions, the incidence of plant disease is likely to be predicted.

Such predictions are designed to warn growers of expected significant developments in the manifestation of a particular plant disease. Such disease forecasts, if sufficiently accurate, permit efficient and competent counter measures to be adopted. A short range or medium range of disease forecast, issued at short intervals during the growing of crops, can give guidance to the farmers on the best remedial measures. Growers can decide whether a chemical control measure is needed or not, and if needed then optimum date on which to be applied and similar day to day decisions to fight against disease to minimize the losses to be caused.

The result, of adopting such a plan of weather based control measures, is to reduce the number of chemical sprays to a well timed few, thus giving an equal or even better protection at a lower cost in chemical and labour, and simultaneously reduces losses caused by phytotoxic and mechanical damage to the crop. The reduction in the use of potentially toxic chemical is a matter to be welcomed in the present world, considering the consequences of the widespread use of toxic chemicals.

Introduction 
In the past, literacy in reading, writing and mathematics was considered the basis of establishment in society. With this knowledge, anyone could run all the businesses of his professional life efficiently because no technical skills other than typewriter and general computer knowledge were required. In present set up, this general knowledge is no longer enough to perform any task smoothly today. In this age of science and technology, the old concept of literacy is no longer applicable. Three other types of literacy or skills have now been added to the past concept of literacy: information literacy, technological literacy and human literacy. In this age of technology, people cannot keep themselves functional in this digitized world by practical knowledge of analog equipment alone. In present days, people live and work on the constant flow of big data, connections, and instant information flowing from every click and touch of a device. Technology is not static. Evernew technological advancement brings tides of data before people, therefore, they need data literacy to read, analyze and use them. Technological literacy gives them grounding in coding and engineering principles, so they know how their machines tick. Ultimately, human literacy teaches them the humanities, communication and design, allowing them to work in human environments. Artificial intelligence (AI) is now a fact of everyday life in our modern hightech societies. There are many definitions of AI and each of those definitions has been revised over time. Presently, most definitions state that AI solves complex cognitive problems associated with human intelligence or that AI helps as many people as possible through smartphones or healthcare, or even that AI recognizes problems and creates solutions for the benefit of technology, people, and society. However, the core concept of AI has continuously been to create machines that were capable of thinking like humans. It took about 200,000 years for human intelligence to evolve from natural to artificial and only 10 years to cut ties with the Earth and move to the clouds. During the creation of AI, mankind learned a lot about what it means to be human, how human intelligence is structured, and how humans learn and acquire expertise. With more predictive power, more efficiency and the ability to deliver better results than humans, AI is rapidly moving aside from humans into the world of expertise. However, it is impossible to imagine that someone else will replace Homo sapiens at this moment, but its probability cannot be ruled out in the days to come. The day, when mankind, in the course of time, will immerse in the world of knowledge, robotics becomes an essential part of the human body and existence, the existence of mankind is sure to be threatened. In October 2017, Saudi Arabia granted citizenship to humanoid Sofia. Perhaps this is a new breed of human being brought about by technology in the 21st century. Just as the message of the first driverless car aroused a lot of curiosity among mankind and now that curiosity has disappeared completely, it is likely that the arrival of many Sophia’s will make the environment very normal in the coming days. So here comes AI – Artificial Intelligence, the driving force behind Sophia or Driverless cars. The very simple definition of artificial intelligence is -the intelligence displayed by machines. Today, in this age of science and technology, we can say that anything imaginable by humans can be done with the help of machines. Sundar Pichai, CEO Google and Alphabet in his article “The promise of AI for India and the World” opined that every technology shift is an opportunity to advance scientific discovery, accelerate human progress and improve lives. AI will do this on an unprecedented scale and India is uniquely positioned to play a leading role.

This chapter presents a case of Jind region of Haryana State, Northern India which had experienced mild tremors of ~ 3 on Richter scale magnitudes in the recent past with a gap of 1 to 2 years. Rejuvenation of the lineament controlled volcanoseismic process is identified as the probable cause of these tremors. This chapter describes seismotectonic characters, micro and mega seismicity of the area and few mitigation measures.

INTRODUCTION

The Haryana state consists of Delhi Super Group (DSG), Indo- Gangetic alluvial plain in the form of alluvial fan, sand dune, alluvium of Ambala, Yamuna and Ghagghar rivers and Siwalik Super Group (SSG) in the southern, central and northern parts respectively (Fig.1). The study area Jind is located in the central part of Haryana and comprises 200 – 600 m thick Indo-Gangetic alluvium. The alluvium is of Quaternary Period and composes alternating layers of clay, silt, sand and kankar. The Bhiwani and Tosham areas, located south of Jind, show the occurrence of Neoproterozoic granite and rhyolite of Malani Igneous Suite (MIS). The rocks occur in the form of ring structure/ring dyke on the hillocks amidst the alluvium. The metasediments (mica schist and quartzite) of Delhi Super Group are underling MIS at Tosham (located at 70 km southwest of Jind). As Jind region experiences mild tremors and there is no previous published work pertaining to the geology, tectonics and seismicity of the area the chapter records these aspects for better understanding and mitigation of earthquake hazard.