eChapters

India is a geologically diverse country with a wide variety of rock types. The major rock types found in India can be broadly classified into the following categories:

Igneous Rocks: These rocks are formed from the solidification of molten magma. They can be further divided into two types:

1. Plutonic (Intrusive) Igneous Rocks: Examples include granite, diorite, and gabbro. These rocks are formed deep within the Earth's crust and have a coarse-grained texture.
2. Volcanic (Extrusive) Igneous Rocks: Examples include basalt, andesite, and rhyolite. These rocks are formed on the Earth's surface from volcanic eruptions and have a fine-grained texture.

Sedimentary Rocks: These rocks are formed by the deposition and consolidation of sediments over time. They can be further divided into various types based on their composition and mode of formation:

1. Clastic Sedimentary Rocks: Examples include sandstone, shale, and conglomerate. These rocks are formed from the accumulation and lithification of fragments of pre-existing rocks.
2. Chemical Sedimentary Rocks: Examples include limestone, dolomite, and rock salt. These rocks are formed from the precipitation of minerals from water bodies.

Abstract

The Pudukkottai district located in the southeastern tip of Tamil Nadu, India provides a complex geological setting with three litho-tectonic blocks membered by the hard Crystalline rocks of Archaeozoic-Proterozoic Era in the west,Mio-Pliocene Sandstone/Cuddalore Sandstone in the centre and Quaternary sediments in the east. While the western and central blocks are separated by a well-defined NNE-SSW trending fault, the central Mio-Pliocene Sandstone block is cut into two parts by a N-S fault with western static block and the eastern uplifted counterpart. Besides the above, the various drainage anomalies viz; Annular, Deflected and Eyed drainages and compressed meanders interpreted using the raw and digitally enhanced satellite multispectral data show that the N-S oriented faults with oscillations from NNW-SSE to NNE-SSW, NE-SW and E-W orientations are tectonically active in the area. The integration of these active faults with known geothermal springs and the maxima axes drawn from the contours deducted from the temperature of groundwater measured during the predawn hours from the wells revealed that the N-S and NE-SW faults are the probable locales for geothermal resources in the study area. Thus the study demonstrates a newer methodology for locating the geothermal prospects.

Abstract

The Tamil Nadu is one of the leading states in groundwater development. Since the surface water resources have been fully exploited for irrigation, the groundwater is massively mined for agriculture, domestic and industrial purposes. The paper provides a synthesis of whole groundwater related issues including basin wise groundwater conditions, the aquifer types, geogenic water quality and quality deterioration due to anthropogenic activities, need for recharge, the utility of Remote Sensing & GIS etc. The paper has come out with set of recommendations as the concluding remarks.

Geomorphological mapping is the process of creating detailed maps that illustrate the physical features of the Earth's surface, including landforms, soil types, vegetation, and water resources. These maps can be used to better understand the underlying geology and topography of a region, and can be used for a variety of purposes, such as land-use planning, environmental management, and geological hazard assessment.

Geomorphological maps are typically created using a combination of field observations, aerial photography, and remote sensing data. Field observations involve physically visiting a site and making detailed observations of the landforms, soil types, and vegetation. Aerial photography involves taking high-resolution photographs of the Earth's surface from an airplane or satellite, which can be used to create detailed maps of the area. Remote sensing data can also be used to create geomorphological maps, including data from satellites, radar, and LiDAR (Light Detection and Ranging) systems. These technologies allow scientists to gather data about the Earth's surface without physically visiting the site, and can provide highly accurate information about the topography, geology, and vegetation of an area. The resulting maps can be used for a variety of purposes, including land-use planning, natural resource management, and hazard assessment. For example, geomorphological maps can be used to identify areas of high risk for landslides, floods, or earthquakes, and can be used to develop strategies for managing these hazards.

Introduction

Geomorphology is the study of earth’s landscapes over time and space, and involves an analysis of both its surface features as well as the processes responsible. Historically, the subject evolved through monumental studies on supposed evolution of the landscape, based on intuitive knowledge of the researchers on landscape response to endogenic and exogenic forces, as well as visions of possible changes over a time scale of centuries to millennia or more. Too much emphasis on the study of possible landscape evolution in an era of little technological back-up facilities meant that the discourses were largely philosophical in nature, with fewer measurable parameters to substantiate the concepts or the reasoning, although reflecting deep understanding of the researchers involved. As older concepts began to be confronted with newer ones, and applied aspects started receiving greater attention, a need was felt for quantification of the features and processes. This was more so for an understanding of the fluvial landscape, although aeolian and other process-based studies also gradually incorporated quantitative analysis as a means of understanding the landscape. Despite the awareness, lack of adequate equipment hindered the progress of quantification in the pre-World War II period.

Abstract

Natural resources and agricultural production processes vary spatially. Capturing the spatial variations in data and knowledge of natural resources and production processes has been a major challenge for efficient and sustainable management of agricultural production systems. Geographical Information Systems (GIS) provide an effective platform for storing and mapping spatial data and modeling the relevant processes. Huge volumes of geospatial data on specific themes such as soils, water, climate, and other natural resources, are being collected by public and private agencies. However, currently it is difficult for most users to access the data and integrate them into a GIS platform to derive useful information and knowledge for specific applications. There is a need to create geospatial data and knowledge systems that can provide efficient, on-demand and remote access of spatial data to users to enable development of a variety of GIS applications for agricultural and natural resources management. The design of a prototype geospatial library to provide web-based access to geospatial data, services, and learning and knowledge resources that can support agricultural and natural resources management is presented. The design is scalable and sufficiently general to allow a range of agricultural and natural resources management applications across different spatial scales.

Keywords: Agriculture, GIS, Geospatial library, Knowledge Management, Natural Resources

The term ‘geo’ is a Greek word, it means the earth, and the term ‘spatial’ means parameter/feature measured, mapped or modeled with reference to distance or space. The geospatial technology refers to the technology that measure, model, analyze, map, or predict the features or phenomena that occur on earth and its surface.

Introduction

High degree of spatial variability in soil properties is observed at different scales. This variability is generally originated from the combined effect of physical, chemical or biological processes operating with different intensities at different scales (Goovaerts 1998). Knowledge of this spatial variationof soil properties is important in several land management applications e.g. variable rate application of nutrient and water in agricultural production system, land suitability classifications, modeling water balance components at landscape scales, precision farming etc. The concept of ‘management zone’ was also evolved in response to this large variability with the main purpose in efficient utilization of agricultural inputs with respect to spatial variation of soils and its properties (Franzluebbers et al. 1996, Atherton et al. 1999, Malhi et al. 2001). Therefore, an appropriate understanding of spatial variation of soil properties is essential. The most important way to gather knowledge in this aspect is to prepare soil maps through spatial interpolation of point-based measurements of soil properties. Here, a case study is discussed where soil water retention at two critical levels e.g. field capacity (FC) and permanent wilting point (PWP) was spatially characterized through geostatistical approaches. Because these two soil moisture contents guide farmers to apply right amount of irrigation water at right time. The study was carried out at the experimental farm of ICAR-Indian Agricultural Research Institute, New Delhi, India (28°37′-28°39′ N, 77°8′ 30″-77°10′30″ E, 217-241 m above mean sea level). A detailed discussion of the study is available in Santra et al. (2008)

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.

Abstract

Any naturally occurring phenomena varies both in space and time. This variability is a result of various natural process and hence deterministic. Geostatistics is a tool to help us to characterize spatial variability and uncertainty resulting from imperfect characterization of the variability. Geostatistics involves the theory of regionalized variables, which dates back to the early fifties and includes concepts of random function and stationarity. Geostatistical mapping can be defined as analytical production of maps by using field observations, explanatory information, and a computer program that calculates values at locations of interest. There area number of spatial prediction models depending on the amount of statisticsinvolved in the analysis. Kriging is a generic name adopted by the geostatisticians for a family of generalized least- squares regression algorithms and various kriging algorithms viz., punctual kriging, block kriging, co-kriging and universal kriging are explained in this paper. Applications of geostatistics can be found in many varied disciplines ranging from the geology to soil science, hydrology, meteorology, environmental sciences, agriculture and even structural engineering and some of its applications are summarized in this paper.

Keywords :Geostatistics, spatial variability, kriging, model

13.1 Introduction

Geothermal energy is the nature-based heat generated from within the earth. Underneath the earth’s relatively thin crust, temperature range from 1000 to 4000°C & in some areas, pressures exceed 138 MPa is available. Geothermal energy is most likely generated from radioactive thorium, potassium and uranium dispersed evenly throughout the earth’s interior which produce heat as part of the decaying process. This process generates enough heating, keep the core of the earth at temperature approaching 400°C. Composed primarily of molten nickel & iron, the core is thought to be surrounded by a layer of molten rock, the mantle at approximately 100°C. Nine major crustal plates float on the mantle & currents in the mantle cause the plates to drift, colliding in some areas and diverting in others. When two continental plates converge a complex series of chemicals in the form of molten magna rises in the earth’s crust and depending upon its magnitude, it may break the crust and reach at the earth surface. Volcano, hot spring, geysers & fumaroles are natural geothermal resources near the surface and perhaps where economic drilling operations can tap their heat and pressure.

Biodynamic farming is a holistic and sustainable approach to agriculture that views the farm as a self-sustaining ecosystem. This article provides a comprehensive guide for beginners looking to embark on biodynamic farming, covering essential principles, practices, and preparations. It begins with an exploration of the philosophical underpinnings of biodynamic farming, rooted in the teachings of Rudolf Steiner, before delving into practical aspects such as soil health, crop rotation, composting, and pest management. The article also discusses the significance of biodynamic preparations, celestial planting calendars, and certification processes. With a focus on both traditional practices and modern adaptations, this guide aims to equip new biodynamic farmers with the knowledge and tools they need to start their journey toward a more sustainable and regenerative farming system.

Abstract

The sustainable management of plant genetic resources is of great concern as increasing population and rapid technological strides are putting enormous pressure on this country’s nutritional and food security. Management of plant genetic resources at national level generates and uses enormous data and analysis of these data is crucial to the effectiveness of PGR management process and can add significantly to the value of genetic resources. A GIS is a database management system that can simultaneously handle data representing spatial objects and their attribute data. GIS allows us to view, understand, question, interpret, and visualize data in many ways that reveal relationships, patterns, and trends in the form of maps, globes, reports, and charts. It can play an important role in the management of large and complex PGR datasets. The article analyses the potential uses of GIS in plant genetic resources management in India covering various activities such as germplasm exploration and collection, characterization and evaluation, plant health management, documentation and conservation.

Key words : plant genetic resources, germplasm, conservation, documentation, DIVA-GIS,

Abstract

The study area falls in the southern part of the Indian Peninsular comprising hard crystalline rocks of Archaeozoic and Proterozoic Era. In the present study, the GIS based 3D visualizations of gravity, magnetic, resistivity and topographic datasets were made and therefrom the basement lineaments, shallow subsurface lineaments and surface lineaments/faults were interpreted. These lineaments were classified as category-1 i.e. exclusively surface lineaments, category-2 i.e. surface lineaments having connectivity with shallow subsurface lineaments and category-3 i.e. surface lineaments having connectivity with shallow subsurface lineaments and basement lineaments. These three classified lineaments were analyzed in conjunction with known mineral occurrences and historical seismicity of the study area in GIS environment. The study revealed that the category-3 NNE-SSW to NE-SW lineaments have greater control over the mineral occurrences and the N-S, NNE-SSW and NE-SW faults/lineaments control the seismicities in the study area.

Abstract

Runoff from rainfall is an important component of the hydrological cycle. Estimation of runoff is critical for the design of hydrological structures and drainage systems in watersheds. Different soils, land use, and water management practices affect runoff differently. In real watersheds, land use, soils and weather conditions vary spatially over the geographical area of the watershed leading to spatial variations in runoff. Also, most watersheds form a part of larger drainage basin or a large watershed consisting of several such subwatersheds. Each subwatershed is hydrologically connected to the other subwatersheds of the basin. A comprehensive GIS based decision support system (DSS) for estimation of runoff that includes the spatial variations in rainfall and natural resources is presented. The DSS is developed as a deployable application by integrating independent GIS layers of watershed features created in ArcGIS with MapObjects in VB, for a case study watershed - the KK3 watershed in Mahbubnagar district of Andhra Pradesh, India. The DSS generates thematic maps of spatial variations in runoff on individual rainy days for the subwatersheds.

Keywords : GIS, GUI, Land use, Rainfall, Remote Sensing, Runoff, Soil, Sub-watershed, Watershed 228 Geospatial Technologies for Natural Resources Management

INTRODUCTION

Coastal zones are always dynamic and active, because of the multivariate morpho tectonic and morpho dynamic processes, viz: tectonic, fluvial, marine and aeolian which act in varying degrees and duration along the coasts. As these geomorphic / morpho dynamic processes act in varying permutations and combinations in different segments of the coasts, the land - ocean interactive phenomenon vary greatly in time and space, which in turn frequently and dynamically alter the coastal environment, and cause fragility to the coastal ecosystems. Further, as the coastal zones act as the junction between the Continents and the oceans, even mild earth movements exhibit exemplified expressions in land - water distribution pattern along the coasts. The green house effect and the much apprehended sea level rise and the disasters like cyclones also contribute in their own way in accelerating such land - water distribution / land - ocean interactive phenomenon.

Abstract

The emergence of Remote Sensing and GIS technologies has substantially eased the problems of groundwater targeting in hard rock aquifer systems. Proper utilization of these can provide more vital information in managing such scarce resource. In this context, a new technique of GIS based visualization of groundwater levels of different periods (1985- 1990 -1995) was attempted for a part of Western Ghats hill-plain region of Tamil Nadu and various groundwater features viz: ridges, valleys, domes and basins were interpreted. The integration of such groundwater features of different periods and their analysis with structural features provided some newer information on geosystem processes and their interface dynamics with hydrosystems, from which, certain strategies were suggested for better groundwater management in hard rock areas.

Topology building

Boolean operations

Query and model building

Customization

Introduction

At human scales, the world consists of objects, events, processes, and a background environment. Cognition is about knowledge: its acquisition, storage and retrieval, manipulation, and use by humans and other intelligent creatures. Cognition includes sensation and perception, thinking, imagery, reasoning and problem-solving, memory, learning, and language. Cognitive structures and process are part of the mind, which emerges from a brain and nervous system inside of a body that exists in a social and physical world. Spatial cognition deals with the cognition of spatial properties of the world, including location, size, distance, direction, shape, pattern, movement, and inter-object relations. GIS design will be largely influenced by spatial cognition.

8.1 INTRODUCTION

To implement a good GIS project, a well structured project design and management are essential. Well planned project will give fruitful result within the stipulated time. Project not completed in time will not incur more cost and also the time delay will add negative value to the project. Hence all the elements in project planning and implementation should be considered to have a desired result. Some of the issues are also present in GIS and they will be rectified in the next decade.

8.2 PROBLEM IDENTIFICATION

Any project is coming into reality due to necessity. If water scarcity is more in a hard rock region with sufficient rainfall, it is important to augment groundwater resource using rain water harvesting structures. It is important to build water harvesting structures like check dam, percolation pond in suitable locations so that groundwater recharge will be more. Hence a problem is identified and the project work may be carried out by a government or private organisation and the result is given to the government to implement the project. Likewise many area may require a project in GIS environment for planning. Once a project is created any development taking place can be added and GIS database is updated.

3.1 INTRODUCTION

Geographic Information System handles large volumes of data. It is important to know the nature of data, instruments from which the data is collected and represented in computers. GIS data is either spatial or aspatial. Data is an important component in GIS. Digital data are available for some projects. but for many projects, input data may not be available. Now-a-days, data is supplied by many government, private organizations and also available on internet. If data for a particular project is not available, then the user has to collect the data from satellite imageries, GPS and other instruments and maps from various sources.

Spatial Data

All locations in the earth surface are spatial data. Location of a city, location of a river, location of a lake are represented in earth by their latitude or longitude in global coordinate system or as x,y coordinate in Cartesian coordinate system. Spatial data consists of location, shape and size in earth. A village boundary is represented as a polygon in map. The village is having certain shape of irregular polygon with definite area. As all these are mappable , they are called as spatial data. But name of the village, revenue of a village and description about a village and called as non-spatial or aspatial data.

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

Introduction

Rainfall is one of the climatic variables that varies very highly spatially and temporally. Understanding this micro-level variation is a crucial indicator for planning future water requirements and preparing for management strategies. Numerous researchers have delved into the distribution, variability, and trends of rainfall across diverse spatial scales, ranging from global to regional and basin levels. Nair et al. (2014) analyzed the rainfall trend and seasonality index for Kerala state in India over the last 100 years. The rainfall trend was found to be decreasing significantly in almost all the regions of the state. Nischitha et al. (2013) provide insights into the spatial and temporal variability of daily monsoon rainfall in the Tunga and Bhadra River basins in Karnataka state. Paradkar et al. (2019) evaluated the pattern of weekly rainfall by using statistical parameters such as mean, standard deviation, skewness, and kurtosis for five stations in Pratapgarh district.

Geographical Information System (GIS) proved to be an effective tool in handling information and analyzing rainfall patterns, providing visual representations, and facilitating the decision-making process (Kadir et al. (2016) and Rao et al. (2017)). Anand et al. (2020) analyzed the long-term spatial and temporal trends of rainfall in the Lower Bhavani basin in Tamil Nadu, India using GIS and statistical methods. Earls et al. (2007) compared different interpolation methods such as Inverse Distance Weighting, Spline, and Kriging (ordinary and universal) to generate a 30 m representation of the rainfall data. Spatial interpolation techniques perform differently and their evaluation should not rely solely on quantitative assessment. Wu & Hung (2016) compared the performance of three spatial interpolation techniques i.e., IDW, kriging, and spline using quantitative assessment, 2D visualization, and 3D visualization. IDW and kriging performed similarly in terms of quantitative assessment, while spline performed worse. IDW and spline performed similarly in 2D visualization, while kriging showed different behavior. Kriging was observed to be an inexact interpolation in 3D visualization, while spline tended to create extreme values along the edges of the study area. Some studies discovered that the accuracy of Kriging in the study area is higher than that of IDW or Thiessen interpolations (Earls et al. 2007; Song et al. 2008; Chen et al. 2010). GIS applications have the capability to integrate spatial data and non-spatial data like rainfall and to visualize, model, and analyze how rainfall distribution varies across space and over time, providing insights into climate change, water resource management, agricultural planning, and disaster management. The present study aims to analyze annual rainfall data pertaining to Kerala state in the GIS environment.

Introduction

A system is a simplified version of reality and is defined as a collection of interrelated parts that work together. Most systems share certain common characteristics. These common characteristics include the following:
Systems have a structure that is defined by its parts and processes. Systems are generalizations of reality.
Systems tend to function in the same way as nature. This involves inputs getting changed in a process and realization of new outputs.
The various parts of a system have functional as well as structural relationships between each other.
Owing to the functional relationships that exist between the parts there is a flow and transfer of some type of energy and/or matter. In case of information systems there is a flow of information in the structure.
The parts that make up a system show certain degree of integration. In other words the parts work well together.

Abstract

The rapid development and integration of spatial technologies viz., Geographical Information System (GIS), Remote Sensing (RS) along with Global Positioning Systems (GPS) provide functional alternatives to revolutionize the conventional entomological approaches like surveillance, spatial/temporal distribution of insect populations, pest distribution mapping and predictive modeling. Application of these technologies for insect problems is well established in the fields of forest, range land, medical and agricultural entomology elsewhere. Nevertheless, in India its field relevance in agricultural entomology is still limited owing to lack of proven field prototype studies and collaborative efforts among stakeholders. It’s time to gain real momentum to integrate these progressive technologies to formulate sustainable integrated pest management programs.

Key words: GIS, Remote Sensing, Insect Populations, Field Applications

Global onion research connects crop domestication, genetic diversity, nutrition, therapeutics, production, breeding and post-harvest technology. Onion contains organosulphur compounds, quercetin derivatives and other phytochemicals associated with antimicrobial, antioxidant, cardioprotective and anticancer effects. Despite high global production, productivity differs substantially among countries, and storage losses remain a major economic concern. This chapter reviews global production trends, germplasm resources, breeding strategies, phytochemistry, therapeutic potential and emerging storage technologies. Landraces, cultivars and wild relatives provide valuable traits for yield, storability and stress resilience. Advanced treatments such as ozonation, cold plasma and irradiation demonstrate promise, although wider commercial adoption, economic validation and regulatory development remain necessary.

Agriculture faces increasing pressure from population growth, climate change, resource scarcity, land degradation, water shortages, and growing food demand. This chapter examines the major global challenges affecting agricultural productivity and food security. Climate variability, extreme weather events, declining natural resources, and changing pest and disease patterns create substantial risks for farming systems. The chapter discusses sustainable and climate-smart agricultural approaches for improving resilience and resource-use efficiency. It also highlights the contribution of artificial intelligence, precision agriculture, biotechnology, remote sensing, and digital technologies in addressing these challenges. Policy support, research investment, institutional cooperation, and equitable access to technology are emphasized for sustainable agricultural development

The escalating global threat of drought, characterized by increasing frequency and severity, demands a comprehensive and coordinated response. These prolonged periods of water scarcity not only endanger human lives and erode livelihoods but also inflict lasting damage on fragile ecosystems. Recognizing the scale and complexity of this challenge, a multitude of global initiatives have emerged, uniting international organizations, governments, research institutions, and civil society in a collective endeavor. This chapter will delve into the landscape of these crucial efforts, exploring the key organizations driving change, the diverse strategies being implemented, and the pivotal role of technological advancements in mitigating the devastating consequences of drought. By examining the framework of these global collaborations, we aim to provide a comprehensive understanding of the ongoing work to build resilience and ensure a more water-secure future for all.

Monsoons are vital atmospheric circulations that govern the climate and livelihoods of vast populations across the globe. Characterized by seasonal reversals in wind direction and associated shifts in precipitation patterns, these systems are critical for agriculture, water resources, and overall socio-economic stability in many regions. However, the delicate balance of monsoon systems is increasingly threatened by climate variability, leading to significant disruptions and challenges, particularly in the form of severe droughts. Recent years have witnessed the devastating impact of drought in numerous monsoon-dependent regions across the world. In India, heavily reliant on the summer monsoon, failures have caused significant water shortages and poor crop yields, particularly in vulnerable regions like southeastern Maharashtra and Rajasthan. The consequences extend to groundwater depletion and increased irrigation demands. The impact of recent droughts is not limited to Asia. The African continent has also faced severe consequences. The Horn of Africa experienced a particularly devastating drought from October 2020 to 2023, resulting in widespread harvest failures, livestock losses, and displacement, marking the worst drought in four decades. West Africa has similarly suffered from frequent droughts causing crop failures, rising food prices, and exacerbating income inequality. South America, too, has experienced significant impacts. Argentina faced a severe drought in late 2022 and early 2023, halving wheat and soy harvests and impacting exports. In Uruguay, this drought led to a lack of access to drinking water for thousands. Brazil has seen harvest failures and reduced agricultural GDP due to drought, also threatening its hydroelectric power generation. Furthermore, the Amazon rainforest has been affected by intensifying droughts, leading to increased tree mortality, a higher risk of forest fires, and significant impacts on biodiversity and local communities due to drastically reduced river levels. Recent years have witnessed the dual impact of extreme weather events in numerous monsoon-dependent regions. In India, while facing drought in many areas, heavy monsoon rains have also caused catastrophic flooding. In July 2021, the coastal regions of Maharashtra experienced severe flooding affecting millions and causing hundreds of deaths. Major events like the 2022 Assam floods and the 2023 North India floods further exemplify the destructive potential of intense monsoon rainfall. The African continent also experiences significant flooding during its monsoon seasons. In 2024, West and Central Africa, including countries like

Abstract
The rapid increase in global food demand, driven by fast population growth, has made it challenging to provide nutritionally balanced diets. Pulses offer a promising solution to these challenges by delivering significant nutritional and physiological benefits. Pulses such as chickpeas, green gram, peas, horse gram, beans, lentils, black gram, and others are excellent sources of protein (190-260 g kg−1), carbohydrates (600-630 g kg−1), dietary fibers, and bioactive compounds. The phytochemicals found in pulses, including flavonoids, phenolics, tannins, phytates, saponins, oxalates, peptides, and enzyme inhibitors, offer numerous health benefits. Pulses, essential to human diets for centuries, have seen historically low consumption levels due to underappreciation of their nutritional value. Recognizing their significance, the United Nations designated 10 February as World Pulses Day, and declared the year, 2016 as International Year of Pulses emphasizing their role in promoting healthy diets, sustainable food production, and food security. India is the largest producer of pulses in the world accounting for 25% of the global pulse production. The production and productivity of pulses have slightly decreased due to great emphasis to rice and wheat crops. To boost pulse production, India has implemented initiatives like the National Food Security Mission and policies to support farmers, including Minimum Support Prices (MSP) and welfare schemes integrating pulses. These efforts aim to enhance pulse cultivation, ensure food security, and improve farmer incomes, addressing the demand-supply gap and declining per capita availability of pulses.
Keywords: legumes, sustainable, oxalates, inhibitors, phytochemicals

GPS stands for Global Positioning System, basically Navstar GPS is a radio based space aviation system developed by United state government which was operated by United State Air Force. It provides geographic location and time related information to GPS receivers under global navigation satellite from anywhere of earth where unobstructed line of sight to 4 or more GPS satellite co-ordinate (Anonymous, 2018). Even GPS not required any user for transmitting data, with working independently on any telephonic or internet receivers; through these technologies we can enhance usefulness of the GPS location based information. The GPS serves as critical positioning capacity to various fields like army operation, civil aviation, and commercial scope to wider scope in around world.

Introduction

The Global Positioning System (GPS) is a space-based navigation system that provides location and time information in all weather conditions, anywhere on or near the Earth where there is an unobstructed line of sight to four or more GPS satellites. The system provides critical capabilities to military, civil, and commercial users around the world. The United States government created the system, maintains it, and makes it freely accessible to anyone with a GPS receiver. The US began the GPS project in 1973 to overcome the limitations of previous navigation systems, integrating ideas from several predecessors, including a number of classified engineering design studies from the 1960s. The U.S. Department of Defense (DoD) developed the system, which originally used 24 satellites. It became fully operational in 1995. Roger L. Easton, Ivan A. Getting and Bradford Parkinson of the Applied Physics Laboratory are credited with inventing it.
 
Advances in technology and new demands on the existing system have now led to efforts to modernize the GPS and implement the next generation of GPS Block IIIA satellites and Next Generation Operational Control System (OCX). Announcements from Vice President Al Gore and the White House in 1998 initiated these changes. In 2000, the U.S. Congress authorized the modernization effort, GPS III. In addition to GPS, other systems are in use or under development. The Russian Global Navigation Satellite System (GLONASS) was developed contem-poraneously with GPS, but suffered from incomplete coverage of the globe until the mid-2000s. There are also the planned European Union Galileo positioning system, China’s BeiDou Navigation Satellite System, the Japanese Quasi-Zenith Satellite System, and India’s Indian Regional Navigation Satellite System.

Introduction

Global Positioning System (GPS) is a system of satellites and ground stations that provide location and time information for any place on earth, regardless of the weather. GPS is a type of GNSS, which stands for global navigation satellite systems. GPS has many applications in precision farming, such as farm planning, field mapping, soil sampling, tractor guidance, crop guidance, variable- rate applications (VRAs) and yield mapping. GPS helps farmers work in low- visibility conditions such as rain, dust, fog, and darkness. India has its own GPS system called IRNSS or NavIC, which uses about seven satellites. GPS is owned and operated by the U.S. government, specifically the U.S.

SUMMARY

Plant tissue culture mainly comprises a set of in vitro techniques, methods and strategies that are part of the group of technologies called plant biotechnology. Tissue culture has been exploited not only to create genetic variability from which crop plants can be improved but also to improve the state of health of the planted material and to increase the number of desirable germ plasms available to the plant breeder through a shorter duration in cost effective manner. Tissue-culture protocols are available for most crop species, although continued optimization is still required for many crops, especially cereals and woody plants. Tissue culture techniques, in combination with molecular techniques, have been successfully used to incorporate specific traits through gene transfer. In vitro techniques for the culture of protoplasts, anthers, microspores, ovules and embryos have been used to create new genetic variation in the breeding lines, often via haploid production. Cell culture has also produced somaclonal and gametoclonal variants with crop-improvement potential. The culture of single cells and meristems can be effectively used to eradicate pathogens from planting material and thereby dramatically improve the yield of established cultivars. Large-scale  micropropagation laboratories are providing millions of plants for the commercial ornamental market and the agricultural, clonally-propagated crop market. With selected laboratory material typically taking one or two decades to reach the commercial market through plant breeding, this technology can be expected to have an ever increasing impact on crop improvement as we approach for the need of the hour .

6.1 World Trade Organization (WTO) and Trade-Related Aspects of Intellectual Property Rights (TRIPS)
6.1.1 Introduction
The globalization of trade and the rapid advancement in innovation—particularly in biotechnology—have necessitated the harmonization of intellectual property rights (IPR) across nations. The World Trade Organization (WTO), established in 1995, is the apex multilateral body that regulates international trade among member states. Within its legal framework, the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS) plays a foundational role in setting minimum standards for IPR protection and aligning national laws with global trade norms.
In the realm of biotechnology, TRIPS has profound implications on patentability of life forms, technology transfer, public health, biodiversity, and traditional knowledge.
6.1.2 World Trade Organization (WTO): An Overview
• Established: January 1, 1995
• Headquarters: Geneva, Switzerland
• Membership: 164 members (as of 2024), including India
• Primary Objectives:
• Facilitate free and fair global trade
• Administer trade agreements
• Resolve trade disputes
• Monitor national trade policies
• Promote cooperation with other international organizations (e.g., WIPO, WHO)

Global warming is the hottest issue facing life in our times. The gradual average increase in air temperatures near Earth’s surface over the past one to two centuries is leading to the phenomenon called global warming. It is this global phenomenon that triggers climate change, threatening the entire life on Earth. Earth’s climate has changed over all conceivable geological timescales, but that was all on account of the natural phenomenon. But, human activities are making the phenomenon more pronounced since the beginning of the Industrial Age, now emerging as a dominant triggering factor in influencing the overall climate fabric of the planet.

11.1 Global Warming

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

11.2 Who Coined the Term Global Warming?

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

1.1. Background Introduction

We live in a world with “throw-away” societies that are involved in a pattern of consuming packaged products that don’t even last past a single use or even a year and discarding the waste. This lifestyle generating waste is negatively impacting public health, environment and imposing socio-economic problems on us. The waste is continuously consuming our land, resources, and energy for storage, management, treatment, and disposal. Solid waste was an urban issue initially but has reached every corner nowadays. 

The weather parameters that may occur outside India will also play a dominant role on weather conditions in India. Such weather parameters are called as global weather parameters and were found to play very important role on weather even in most parts of the world. During normal conditions in the Pacific Ocean, trade winds blow west along the equator, taking warm water from South America towards Asia. To replace that warm water, cold water rises from the depths-a process called upwelling. These global parameters are popularly known as El Ni?o, La Ni?a, Southern Oscillation, and ENSO (combination of El Ni?o and Southern Oscillation).

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

Transgenic varieties combine genes from totally unrelated species. For example, we can now transfer genes for salinity tolerance to rice from mangroves. The recombinant DNA technology is part of the evolution of genetics starting with the rediscovery of Mendel’s Laws of Inheritance in 1900. In the early part of the twentieth century, various techniques like irradiation, use of chemical mutagens and doubling of chromosomes through colchicine treatment were adopted to develop novel genetic combinations.  Today such gene transfer can be done with both precision and ease through recombinant DNA technology. Both molecular marker-assisted breeding and gene transfer now play a very important role in developing genetic combinations to meet the challenges rising from biotic (i.e., pest and diseases) and abiotic (i.e., drought, flood, sea level rise, etc.) stresses. They will gain further importance in the emerging era of climate change. Varieties developed by marker-assisted selection are also eligible for certification under the protocol for products produced through organic farming.

Goat is the 1st domesticated animal in the ancient age and has been considered to be the Poor Man’s Cow Goat’s meat is lean & has low fat and the demand for goat’s meat is increasing, with rising prices. Goats usually give birth to twins & triplets. Goat is a multi functional animal and plays a significant role in the economy and nutrition of landless, small and marginal farmers in the country. Goat rearing is an enterprise which has been practiced by a large section of population in rural areas. It can efficiently survive on available shrubs and trees in adverse harsh environment in low fertility lands where no other crop can be grown. In pastoral and agricultural subsistence societies in India, goats are kept as a source of additional income for their meat, hair fiber, and dairy, or as a pet. Goats are also used in ceremonial feastings and for the payment of social dues. According to FAO (2008) goat milk production in India were 4 million metric tons, Bangladesh 2.16 million metric tons and the Sudan 1.47 million metric tons over much of the world. Goats are among the main meat-producing animals in India, whose meat (chevon) is one of the choicest meats and has huge domestic demand (Shalander Kumar, 2007). Goat rearing is an enterprise which has been practiced by a large section of population in rural areas. Goats can efficiently survive on available shrubs and trees in adverse harsh environment in low fertility lands where no other crop can be grown. (Oberoi et al., 199I) reported that in variable cost, expenditure on labour was the major component of cost and was 81% under goat farming.

The increasing awareness of the deleterious effects of indiscriminate use of artificial inputs in agriculture such as chemical fertilizers and pesticides hasled to the adoption of organic farming as an alternative method for conventional farming. Farmers are adopting organic farming due to the advantages like,

• It is self-sustaining and socially and ecologically superior over the conventional farming.
• It makes use of cost effective management practices involving the use of farm inputs produced within the farm.
• It is less expensive.
• It is environment friendly as there is no pollution of soil and water.
• It enriches the soil and the local ecology.
• The produce is free of contamination from chemical residues has better taste, flavour and nutritional value.
• Seeds have more vitality and are good for successive generations.
• Growing markets for safe food

Agricultural practices in India remained virtually unchanged for over 2000 years till 1950-60. With technological advancement in medicine and improvement in health care services, population in India substantially increased in the post independence period. The result was that there was acute shortage of food during 1960s and India had to import massive quantities of wheat from USA to avert famine. Most of these food shipments were in the form of aid. It was then that Government of India realised the gravity of situation and invested heavily in agricultural research. Fortunately, during this period food research laboratories in the West developed hybrid varieties of seeds to suit various types of soil and climatic conditions. At the same time new types of fertilizers and pesticides were introduced which showed dramatic increase in the yield. The agricultural research laboratories in India were able to build on this research and provided extension services to adopt new agricultural techniques to farms in India. This led to dramatic improvement in agricultural production which was hailed as “Green Revolution”. Within two decades a country perennially deficient in food and subject to cyclic famines became a food surplus country in spite of the fact that there was a continuous rise in population which doubled in 30 years after independence. This trend continued into 1980’s when Government built huge buffer stocks of wheat and rice to meet the needs during lean production years.

However the momentum of Green Revolution could not be maintained and certain disturbing trends were noticed in 1990s. The growth rate in productivity declined from 2.99 per cent per annum to 1.21 per cent This was not because we had come to a technical plateau our yields of various products are still quite low as compared to those achieved by developed countries and even some of the developing countries.

1. Introduction:- Ensuring Quality and Success in Assisted Reproductive
Technology through Good Laboratory Practices Assisted Reproductive Technology (ART) in animals has become an increasingly vital set of techniques with wide-ranging applications across agriculture, wildlife conservation, and biomedical research. These technologies, encompassing procedures such as in-vitro fertilization (IVF), embryo transfer, and cryopreservation of gametes and embryos, offer solutions to infertility, enable genetic improvement in livestock, and play a crucial role in preserving endangered species. As the application of ART expands throughout the globe, the need for stringent quality control and standardization becomes paramount to ensure the reliability and reproducibility of outcomes. Good Laboratory Practices (GLP) represent a well-established quality system that provides a framework for the organizational processes and conditions under which non-clinical studies are planned, performed, monitored, recorded, reported, and archived. Originally developed to ensure the integrity of safety data for pharmaceuticals and other regulated products, the fundamental principles of GLP are highly relevant to the field of animal ART. This report aims to explore the application of GLP in ART and to thoroughly investigate its contribution to achieving successful outcomes in various ART procedures and across different animal species. By examining the core principles of GLP and their practical implementation in animal ART laboratories, this analysis will highlight the critical role of standardized practices in enhancing the reliability, ethical conduct, and overall success of animal reproductive technologies.
2. Good Laboratory Practices (GLP) in Reference to ART
Good Laboratory Practices are broadly defined as a quality system that governs the organization and conditions under which non-clinical health and environmental safety studies are planned, performed, monitored, recorded, reported, and archived. This system is designed to ensure the quality and

Introduction
Defining GLP: Good Laboratory Practices (GLP) are a comprehensive set of quality system principles designed to ensure the reliability, reproducibility, and integrity of non-clinical health and environmental safety studies. These principles establish a framework for planning, performing, monitoring, recording, reporting, and archiving studies. Adherence to GLP is crucial for generating data that can be trusted and utilized for regulatory submissions and scientific advancements.
Purpose of GLP
• To ensure the quality and integrity of non-clinical and clinical laboratory studies.
• To provide assurance that data submitted to regulatory authorities is truly reliable.
• To standardize procedures and practices in non-clinical and clinical studies.
Scope of GLP
• Primarily applies to non-clinical health and environmental safety studies.
• These studies often support applications for research or marketing permits for regulated products (e.g., pharmaceuticals, pesticides, food additives).
Key Elements of GLP
• Organizational structure and personnel responsibilities.
• Standard operating procedures (SOPs).

Introduction 
Toxicological studies play a crucial role in assessing the safety and potential hazards of chemicals, pharmaceuticals, and environmental pollutants. To ensure the reliability, consistency, and integrity of such studies, the concept of GLP has been established. GLP is a set of principles that govern the planning, execution, monitoring, recording, and reporting of laboratory experiments, particularly those related to safety assessments. The primary objective of GLP in toxicological studies is to ensure that the data generated is of high quality, reproducible, and acceptable to regulatory agencies worldwide. This is essential for evaluating the potential risks associated with exposure to various substances, aiding in the development of safer drugs, chemicals, and consumer products. Compliance with GLP guidelines minimizes errors, prevents fraudulent practices, and enhances transparency in research, ultimately contributing to public health and environmental safety. The assessment of potential hazards posed by chemical, pharmaceutical, agrochemical, and other substances to human health and the environment lies at the heart of toxicological studies. These investigations, conducted in non-clinical settings, provide crucial data that informs regulatory decisions, guides product development, and ultimately safeguards public well-being. The consequences of inaccurate or unreliable toxicological data can be far-reaching, potentially leading to the approval of unsafe products or the unwarranted restriction of beneficial ones. Recognizing the critical importance of the integrity of these studies, the concept of Good Laboratory Practices (GLP) has emerged as a cornerstone, establishing a robust framework for their planning, conduct, monitoring, recording, reporting, and archiving

1. Introduction: Setting the Stage for GLP in Artificial Insemination
Artificial Insemination (AI) stands as a cornerstone technology in modern animal agriculture, playing a pivotal role in the genetic enhancement of livestock across a diverse range of species. This technique, particularly prevalent in cattle and swine, allows for the widespread dissemination of superior genetic traits from carefully selected sires, leading to significant improvements in productivity, such as increased milk yield in dairy cattle and enhanced growth rates in beef cattle. Beyond genetic advancement, AI offers considerable advantages in disease management by mitigating the risks associated with natural mating, thereby controlling the transmission of reproductive tract infections. Furthermore, AI provides economic benefits to livestock producers by reducing the need to maintain live bulls, which require substantial resources, and by offering access to a broader spectrum of genetics than would be feasible through natural service alone. The application of AI is not limited to traditional livestock; it is increasingly employed in the breeding of horses and smaller ruminants, as well as in the management of pet populations, indicating its growing importance in animal reproduction across various sectors. The expanding scope of AI underscores the necessity for robust quality control measures to ensure its efficacy and safety across different animal species and production systems. The success of any AI program is intrinsically linked to the quality of the semen used, making the operational standards of AI laboratories paramount. Optimal conception rates rely on semen with high viability, motility, and morphological integrity, which can be compromised by inadequate handling and unsanitary 130 Concepts of Good Laboratory Practices (GLP) conditions during collection, processing, storage, and insemination. Poor semen management can lead to reduced fertility and the potential spread of diseases, thereby undermining the benefits of AI. To ensure consistent and successful outcomes, standardized procedures throughout the AI process are essential, providing a framework for optimizing techniques and minimizing the risk of errors. In this context, Good Laboratory Practices (GLP) emerges as a critical quality paradigm. Defined as a managerial quality control system, GLP encompasses the organizational processes and the conditions under which non-clinical health and environmental safety studies are planned, performed, monitored, recorded, archived, and reported. While traditionally applied to the safety testing of chemicals and pharmaceuticals, the core principles of GLP, with their emphasis on systematic processes, controlled conditions, and rigorous data management, hold significant relevance for ensuring the quality and reliability of operations within animal AI laboratories. The genesis of GLP regulations in response to concerns about the integrity and consistency of scientific data further underscores its fundamental importance in any laboratory setting where the trustworthiness of results is paramount. This report aims to provide a comprehensive analysis of the GLP paradigm within the context of animal AI laboratories. Its objectives include defining GLP and its core principles, investigating the specific application of these principles in the various stages of animal AI, exploring the benefits and challenges associated with GLP implementation, reviewing relevant regulatory guidelines and standards across different regions, analyzing the impact of GLP adherence on AI techniques and outcomes, identifying effective data representation strategies, comparing the operational differences between GLP and non-GLP compliant laboratories, and discussing emerging trends and future perspectives on the role of GLP in advancing the field.

Introduction

India is transforming from the phase of revolution to commercial mode of agriculture, a step ahead of self-sufficiency. It further evolves to reach a goal of self-reliant on agriculture and allied sector. The present phase demands several technological innovations, their application and implementation in the market. Meanwhile this phase needs due attention for handling the issues on conservation of natural resources, especially germplasm resource, biodiversity conservation, socio-cultural-economic values of our country, etc. The whole process requires good investment on research and development, various economic measures and implementation. It is only possible with vibrant governance and policy implementation of a Government. Already Government of India has taken several measures to transform agriculture. Recent analysis showed that Indian agriculture is the silent ever green revolution. Food production is kept pace with the growing population since independence. Further, it needs several innovations on technologies coupled with policy support to fill the demand. India is placed 49^th position in the world on innovations. Analysis suggested the huge potential for innovation due to its huge human capital, which perhaps need for the country like India to meet the food demand of 333 million tonnes by the year 2050. These innovations must be focussed for growth to efficiency, employment generation, food security to nutrition and health, shortage management to surplus management, input intensive to knowledge intensive agriculture, climate change and sustainability, production and producers, policy interventions, regulations and reforms. The Government emphasize usage of e-trading platforms to sell the farmers’ produce of their choice rather using mandis. This will enable contract farming and inter-state trade. However, major innovations and investment must be implemented on transportation, logistics, and digital access and payments to enable widespread prosperity. Thus, focus must be on the complete agricultural value chain. In fact, focus needed on value addition, rural infrastructure, logistics, warehousing, and quality certification of agriculture produce. India has greatest challenges to face in the future for food and nutritional security, adaptation and mitigation to climate change and sustainable use of essential and scared resources like water, land and energy.

The rapid adoption of Large Language Models requires organizations to manage not only model performance but also ethical, regulatory, operational and lifecycle risks. This chapter presents an integrated perspective on governance, optimization and lifecycle management of LLMs. It examines governance principles based on fairness, accountability, transparency, human-centered design and responsible AI. Regulatory developments and policy gaps are considered alongside the challenges of auditing opaque models, controlling hallucinations and establishing accountability across organizations and jurisdictions. The chapter also explores optimization methods such as pruning, quantization, model compression, instruction tuning, LoRA and QLoRA to improve efficiency while maintaining useful capabilities. Lifecycle management extends from data collection and model design through training, evaluation, deployment, monitoring, updating and eventual decommissioning. Real-world cases demonstrate the importance of continuous testing, feedback, security controls and governance throughout the model lifecycle. Emerging threats, including prompt injection, data poisoning, misinformation, privacy leakage and malicious use, further emphasize the need for coordinated oversight. The chapter ultimately advocates a lifecycle-based governance framework combining technical optimization, regulatory compliance, ethical safeguards and continuous monitoring