eChapters

Introduction

A geographic information system or geographical information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present all types of spatial or geographical data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics. What goes beyond a GIS is a spatial data infrastructure, a concept that has no such restrictive boundaries. In a general sense, the term describes any information system that integrates stores, edits, analyzes, shares, and displays geographic information. GIS applications are tools that allow users to create interactive queries (user-created searches), analyze spatial information, edit data in maps, and present the results of all these operations. Geographic information science is the science underlying geographic concepts, applications, and systems.

GIS is a broad term that can refer to a number of different technologies, processes, and methods. It is attached to many operations and has many applications related to engineering, planning, management, transport/logistics, insurance, telecommunications, and business. For that reason, GIS and location intelligence applications can be the foundation for many location-enabled services that rely on analysis and visualization. GIS can relate unrelated information by using location as the key index variable. Locations or extents in the Earth space–time may be recorded as dates/times of occurrence, and x, y, and z coordinates representing, longitude, latitude, and elevation, respectively. All Earth-based spatial–temporal location and extent references should, ideally, be relatable to one another and ultimately to a “real” physical location or extent. This key characteristic of GIS has begun to open new avenues of scientific inquiry.

To understand IoT “Internet of Things” it is important to understand internet first. Internet is connecting a device to other device anywhere in the world. When two devices are connected with the Internet, they can send and receive all kinds of information such as text, graphics, voice, and video. The high-speed, fiber-optic cables are used, through which the bulk of the Internet data travels. The Internet has revolutionized the communication world. In today’s scenario the internet is an important part for people around the world. The Internet is a global network of billions of electronic devices. The World Wide Web (www) is most widely used part of the Internet.

The “Internet of Things is a potentially integrated part of the ‘Future Internet’. IoT can be defined as a dynamic global network with self - configuring capabilities based on communication protocols where physical and virtual ‘Things’ interact with each other.

The Internet of Things (IoT) is inter-connecting the networks of smart devices. Smart devices may be embedded with vehicles, buildings, or other electronics object with software, sensors, actuators, and network connectivity. Network connectivity enables smart devices to collect and exchange data. The Internet of Things (IoT), also referred to as the Internet of Everything (IoE) which comprises of the web-enabled devices. IoT has its applications in smart city, smart surveillance, automated transportation, smarter energy management systems, water distribution, urban security and environmental monitoring. Agriculture is another new area of IoT application.

Due to advancement in technology the processing power and storage capacity has been increased, in the recent years. At the same time technology is making the devices pervasive, wearable and mobile. Smart devices are fitted with sensors, actuators which enable devices to sense, compute and act intelligently. They are able to exchange information with environment.

Meteorology is the scientific study of the atmosphere. It focuses on the physical processes and phenomena that occur within the Earth’s atmosphere, including weather and climate. Meteorologists study these processes to understand, explain, and ultimately forecast the Earth’s weather.
Think of the atmosphere as a vast and dynamic fluid that surrounds our planet (Fig. 1.1). Meteorology seeks to understand:
• Composition of the atmosphere: What gases and particles make up the air we breathe?
• Structure of the atmosphere: How is the atmosphere layered (e.g., troposphere, stratosphere)?
• Atmospheric motion: Why does the wind blow? What drives air currents?
• Energy balance: How does the Earth receive and redistribute energy from the sun?
• Formation of weather phenomena: How do clouds, rain, snow, storms, and other weather events develop?

1.1 Introduction
Meteorology, at its heart, is the scientific endeavor dedicated to understanding the Earth’s atmosphere and the myriad phenomena that occur within it. More than just the art of predicting whether it will rain tomorrow, meteorology is a robust interdisciplinary science. It intricately weaves together principles from physics, chemistry, and mathematics to unravel the complexities of atmospheric processes. From the gentle caress of a breeze to the formidable power of a hurricane, meteorology seeks to explain the underlying mechanisms that drive our ever-changing weather and long-term climate patterns.
The study of meteorology encompasses a wide array of atmospheric characteristics. Meteorologists delve into the composition of the atmosphere, examining the various gases and tiny particles known as aerosols that reside within it. They also investigate its vertical structure, distinguishing between layers like the troposphere, where most weather occurs, and the stratosphere, home to the ozone layer. The motion of the atmosphere, manifested as wind systems ranging from local gusts to global circulations, is a central focus. Furthermore, meteorology explores the thermodynamics of the atmosphere, including how heat is transferred and how temperature changes, as well as the role of water in the atmosphere, from humidity to the formation of clouds and precipitation – the realm of atmospheric hydrology. Even the captivating
optical phenomena we sometimes witness, such as rainbows and halos, fall under the purview of meteorological inquiry.

Introduction

R is one of the most popular platforms for data analysis and visualization currently available. It is free, open-source software, with versions for Windows, Mac OS X, and Linux operating systems. R is a language and environment for statistical computing and graphics, similar to the S language originally developed at Bell Labs. It’s an open source solution to data analysis that’s supported by a large and active worldwide research community. But there are many popular statistical and graphing packages available e.g. Microsoft Excel, SAS, IBM SPSS, Stata, and Minitab etc., however R has many interesting features so why it is mostly followed by researchers and academicians. Few of the major features of R are given below:

R has become the world-wide language for statistics, predictive analytics, and data visualization. R is not limited to statistics; it provides a wide range of tools for spectroscopy. It offers a wide range of methodologies for spectral data preprocessing, spectral analysis, multivariate analysis of the spectral data, machine leraning models for prediction of properties, and visualization. As an open source project, it’s freely available for a range of platforms, including Windows, Mac OS X, and Linux. An integrated development environment (IDE) for R, R Studio, allows interactive execution of R functions with user interface. RStudio is available in two formats - RStudio Desktop and RStudio Server - both available in free and fee-based (commercial) editions.
1.1. Download and Install R
The R software setup files can be downloaded from any of the widely distributed Comprehensive R Archive Network (CARN). To download R, go to url: https:// www.r-project.org/ and choose your preferred CRAN mirror, a location close to you and follow the steps to download and installation of R and Rtools.
1.2. Download and Install R Studio
Download and Install the R Studio once the base R is installed. Go to https://www. rstudio.com/products/rstudio/download/ and click on download R Studio Desktop with Open Source license.
1.3. Updating R
To update the R, we need the package “installr” and use function “updateR( )”

Introduction

The term “Remote Sensing” was coined in 1950s by Ms. Evelyn Pruitt, a geographer with the U.S. Office of Naval Research, and the term is now commonly used to describe as the science and art of identifying, observing, and measuring an object on the earth surface, without having any direct contact. This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials through which they may be identified and categorized by class/type, substance, and spatial distribution (National Aeronautics and Space Administration—NASA). Remote sensing technology has been widely applied in various applications such as water resources, agriculture, geological studies, forestry, land use, resource exploration, etc.

Elements of Remote Sensing

The remote sensing process involves an interaction between the incident radiation and the targets of interest, exemplified by the use of imaging systems in which the following seven elements are involved; however, remote sensing also involves sensing of emitted energy and using non-imaging sensors

Introduction
Remote sensing is the art and science of recording, measuring, and analyzing information about a phenomenon from a distance. Humans with the aid of their eyes, noses, and ears are constantly seeing, smelling, and hearing things from a distance as they move through an environment. Thus, humans are naturally designed to be remote sensors. In order to study large areas of the Earth’s surface geographers use devices known as remote sensors. These sensors are mounted on platforms such as helicopters, planes, and satellites that make it possible for the sensors to observe the Earth from above.

Definition
Remote sensing can be defined as any process whereby information is gathered about an object, area or phenomenon without being in contact with it. Our eyes are an excellent example of a remote sensing device. We are able to gather information about our surroundings by gauging the amount and nature of the reflectance of visible light energy from some external source (such as the sun or a light bulb) as it reflects off objects in our field of view. Contrast this with a thermometer, which must be in contact with the phenomenon it measures, and thus is not a remote sensing device.

From the dawn of settled agriculture, the rhythm of seasons and the vagaries of weather have dictated the fortunes of human societies. The earliest farmers were keen observers of the skies, their very survival intricately linked to predicting rainfall, temperature fluctuations, and the onset of frost. This fundamental dependence fostered the nascent field of agricultural meteorology, an art and science passed down through generations, relying on empirical knowledge and local wisdom. Think of the ancient civilizations that timed their planting cycles with the flooding of rivers, or the traditional weather lore that guided farmers on when to sow and harvest. Even today, this fundamental understanding remains crucial, forming the bedrock upon which modern agricultural meteorology is built (Fig.1.1).  However, the 21st century presents agricultural systems with unprecedented complexities. The looming shadow of climate change manifests in increasingly erratic weather patterns: intensified heatwaves scorching crops, prolonged droughts decimating livestock, and more frequent and severe floods inundating arable land. These changes disrupt traditional agricultural practices, threaten yields, and exacerbate food insecurity, particularly in vulnerable regions. The comfortable predictability of the past is eroding, demanding a far more sophisticated and proactive approach than ever before.

The world is facing unprecedented challenges in ensuring global food security, and climate change is exacerbating these challenges. Rising temperatures, changing precipitation patterns, and increased frequency of extreme weather events are altering the dynamics of crop diseases, making them more unpredictable and difficult to manage. The consequences are dire: crop diseases can lead to significant yield losses, reduced food quality, and economic hardship for farmers. Therefore, it is imperative that we develop and implement effective strategies for managing crop diseases in the face of climate change. Weather wisdom is a critical component of these strategies. By understanding and interpreting weather patterns and their impact on crop diseases, farmers can make informed decisions about crop management, disease monitoring, and control. This approach is essential for climate-smart agriculture (CSA), which aims to promote agricultural practices that can help farmers adapt to climate change while improving agricultural productivity and sustainability. By leveraging weather wisdom, farmers can reduce crop losses, improve food quality, and enhance their resilience to climate change. This book, “Weather Wisdom for Crop Disease Management: A Requisite for Climate-Smart Agriculture,” provides a comprehensive overview of the role of weather wisdom in crop disease management. The book brings together the latest research and knowledge on the impact of weather patterns on crop diseases, as well as practical strategies for leveraging weather wisdom to manage crop diseases. The book is designed to serve as a resource for farmers, extension agents, researchers, and policymakers who are interested in promoting climate-resilient crop disease management practices.
1.1 Role of Weather in Disease Managemènt
Weather plays a crucial role in the occurrence and spread of crop diseases. The development and dissemination of plant pathogens are significantly influenced by weather conditions such as temperature, humidity, wind, and precipitation (Fig 1.1). A climate change may alter the life cycle, survival, virulence and even genetics of a plant pathogen. Favorable environmental conditions are always a prerequisite for a pathogen to establish pathogenicity. Temperature is a critical factor in the development of crop diseases. Optimal temperatures vary among different pathogens, and temperatures that are either

The Asia-Pacific region is highly vulnerable to climate change, with impacts such as more frequent natural disasters, sea-level rise, floods, droughts, and changing weather patterns. Rural areas, particularly those reliant on agriculture, are disproportionately and non-identically affected. The Asia-Pacific region, home to over 60% of the world's population, is among the most vulnerable to climate change due to its diverse geography, dense coastal populations, and socioeconomic disparities [IPCC, 2022a], Climate change is an emerging threat that affects all countries to varying degrees. The recently released IPCC Assessment Report identified agriculture as one of the critical sectors both susceptible to climate change and contributing to it through Greenhouse Gas (GHG) emissions. Countries in the Asia-Pacific region are investing significant resources to strengthen agriculture on various fronts. These investments focus on the research and development of new varieties and agro-technologies to adapt agriculture to emerging climatic threats and, simultaneously, mitigate GHG emissions from the agricultural and allied sectors. These initiatives are in their early stages, and there is a need to assess the current status of countries' vulnerability to climate change and the measures taken to address

Agriculture encounters a complex dynamic system of natural conditions. The meteorological factors among these natural conditions play a pivotal role so far as agriculture is concerned. The rate of growth and development of a bio-system is largely depending upon its ambient temperature and moisture. The plant productivity per unit area, total production, quality of the produce, operational efficiency as well as econometrics are solely governed by the meteorological parameters. Therefore, their through understanding including the computation and the measurement techniques is absolutely essential. It is no less important to have sufficient workable information on weather phenomena as well as climatic resources to determine realizable potential and an appropriate solution for a number of problems faced in agriculture.

1.1. Meteorology and Climatology
Atmospheric science encompasses the main subfields of meteorology and climatology that are similar in the scientific principles and phenomena being examined, but usually differ by approach, time scale, and application. Meteorology is the scientific study of the atmosphere and weather including weather forecasting. It is an interdisciplinary science that involves observing, understanding and predicting weather conditions likely to prevail well in advance (Fig.1.1). The study of meteorology has been around thousands of years, but significant progress did not begin until the 18th century. Climatology is an atmospheric science that focuses on the processes that create weather patterns and variability. Climatology was developed as a science that is based on weather data recorded at multiple locations for comparatively longer periods, usually for 30 years or more. The study of climatology based on the physical processes is influenced by the geographical features, topography and interaction between land and oceans.
1.2. Agricultural Production
Life demands food. The production of food depends upon 4 major factors that are soil, genetic material, management practices and weather. Over a period of time, formers have evolved the cropping strategies based on their local knowledge and experience on the changes in weather within a cropping season. With rapid advances in agricultural sciences, several new varieties of crops were developed, appropriate soil and water management practices were evolved and suitable measures for reducing abiotic and biotic stresses on crops were identified. However, the recent threats of climate change due to increased atmospheric

The magnitude and trajectory of changes in ecosystem services and functioning have been as conspicuous as has never been until before 1980’s in this subcontinent. Both the services and resilience of agro-ecosystem, the pivotal for agricultural production and security have been disrupted in the name of modernization of agriculture as well as commercialization.
The impact of green revolution in India, that look place during 1960’s and 1970’s have started eroding very fast and as the consequence of this green revolution, the ground water depletion has gone to the worst, it is contaminated either. 40 % of ground water in Punjab has been moderately or severely contaminated leaving agriculture a coercive proposition both from economic and ecological perspective. 10-15 tonnes of top soil are being eroded per hectare per year in its wrong welcoming to farm mechanization process. Most of the highly yielding varieties which did the ‘magic revolution’ now has been fatigued or segregated either. The social-ecological impacts on agriculture perhaps have been both disruptive and deleterious. Due to unabated fragmentation of holding which again is tiny in size, has initiated another problem of resource and energy wastage, bad enough to add to an ecological disruptions.
With a non-denial to the gleaming success of green revolution, which ensured us with much awaited food security and self-reliance, has its intrinsic weakness and coercion as well.

1.1. Background

Once this beautiful planet conceived human civilization with the glory of motherhood, the birds kept on twittering in an ecstasy of joy and freedom; the ripples of pristine rivers, blue and giggling, offered shelter to silvery fishes and pink Amazon Lilies! But human greed has defeated its own needs. So, what had been a means to survive now has turned into tools to triumph, rather, a weapon to destroy her own creation. By this time, we have transformed fertile lands into a barren Arizona, deep forests into a nasty slums and blue rivers into a filthy stream, called Yamuna.

The advent of the Anthropocene, implies that an unprecedented era of human impact on the natural environment, is now so large that the Earth has entered a new geological epoch; it is leaving the Holocene, the environment within which human societies themselves have developed (Gornish and dos Santos, 2016; Reynolds, 2021). Climate change is a prominent sign of human- driven changes to the global environment. There is every reason to be alarmed about anthropogenic climate change, pollution, and biodiversity loss, all of which have been accelerating in recent decades and do pose “existential crisis” (Díaz et al., 2020; Abhilash et al., 2021). Sixth Assessment Report of Intergovernmental Panel on Climate Change (IPCC) released on February 28, 2022, paints a troubling picture as limiting global warming to 1.5oC (a global target in the Paris Climate Agreement) is not safe for all. If warming exceeds 1.5oC, even temporarily, much more severe, often irreversible effects of climate change will occur, land and ocean temperature change, sea level rise and ocean acidification, loss of Arctic Sea ice and ice sheets, stronger storms, longer heatwaves and droughts, abrupt precipitation mainly intensity and seasonal distribution, thawing permafrost and more (IPCC, 2013). On the basis of the Sixth Assessment UN Secretary-General António Guterres said “The alarm bells are deafening, and the evidence is irrefutable: greenhouse gas emissions from fossil fuel burning and deforestation are choking our planet and putting billions of people at immediate risk.” According to the United Nations (2015), there are still 836 million people in the world living in extreme poverty (less than USD,1.25/ day). And according to the International Fund for Agricultural Development (IFAD), at least 70% of the very poor live in rural areas, most of them depending partly or completely on agriculture for their livelihoods. It is estimated that 500 million smallholder farms in the developing world are supporting almost 2 billion people, and in Asia and sub-Saharan Africa these small farms produce about 80 percent of the food consumed (IFAD, 2011). The rural poor often depend partly on forests for their livelihoods (World Bank, 2002). It is estimated that between 660 and 820 million people (workers and their families) depend totally or partly on fisheries, aquaculture and related industries as a source of income and support (HLPE, 2014).

Meteorology is derived from the Greek word meteoro which means above the earth’s surface; i.e., the atmosphere. The state of the atmosphere experienced at a given time, in any location on the surface of the earth is known as weather. Thus meteorology is the scientific study of the atmosphere or the weather. It is a branch of physics dealing with atmosphere and it is often quoted as the ‘physics of the lower atmosphere’. The main focus of meteorology is to understand the weather processes and forecast the weather. Solar radiation, the air mass and moisture are the three key ingredients that make up weather. The exchange of heat, moisture and momentum between the earth’s surface and the atmosphere determines the characteristic of weather. The observable weather events are known as meteorological phenomena and are defined by a set of variables called weather elements. Atmospheric temperature, atmospheric pressure, humidity, precipitation, cloudiness, wind and visibility, etc. are examples of such weather elements. The weather elements are not separate entities. They are closely related with each other and are highly variable in nature. Meteorology explains and analyses the changes of these weather elements.

METEOROLOGY

The major subdivisions of meteorology are dynamic meteorology (or atmospheric dynamics) and physical meteorology (or atmospheric physics). The dynamic meteorology is concerned with the analysis and interpretation of the three-dimensional, time-varying, macro scale motions and energy transformations in the atmosphere. The science of dynamic meteorology is meant to develop models based on the hydrodynamic and thermodynamic equations. The physical meteorology is concerned with the processes that alter the physical properties and the chemical composition of air parcels as they move through the atmosphere.

1.1 Weather Forecasting
Farmers have always been at the mercy of the weather, and accurate forecasting has become an essential tool for their decision-making process. Weather forecasts play a critical role in supporting farmers’ decision-making processes, from crop planning and management to harvest planning and economic decision-making. Crop planning and management is one of the key areas where weather forecasts are crucial. Farmers use weather forecasts to determine the best time to plant seeds, taking into account temperature, moisture, and sunlight requirements. This enables them to choose crops that are suitable for the predicted weather conditions. Additionally, forecasts help farmers optimize irrigation, reducing water waste and ensuring crops receive adequate moisture (Fig.1.1).
Weather forecasts also help farmers mitigate weather-related risks. Extreme weather events like floods, droughts, heat waves, and storms can have devastating effects on crops. Accurate forecasts enable farmers to prepare for and respond to these events, reducing crop damage and loss. For instance, forecasts help farmers take measures to protect crops from frost and freeze damage, which can be catastrophic for certain crops.

India, the second most populous country in the world after China, is trying hard to provide basic needs like food, shelter, clothes, electricity and education facility to its 1,316 million people and to upgrade itself from the stage of ‘Developing economy’ to ‘Developed economy’. Table 1.1 depicts the trend of population increase from 1154 million to 1316 million during 2009 to 2018 with diminishing growth rate from 1.42% to 1.12%. Growing demand of ever increasing population has been met so far by over exploiting natural resources like land, water, fossil fuels, forests and mineral resources which resulted rapid unplanned urbanization, quick depletion of fossil fuels, more and more waste generation, alarming increase in environmental pollution, deforestation with loss of plant and animal species, desertification of cultivable land due to soil erosion, soil contamination & soil salinity and increase in health diseases due to malnutrition, starvation and environmental pollution.

Agriculture is the backbone of rural livelihoods in many developing countries, providing employment, income, and food security for millions of people. However, agricultural productivity and rural livelihoods are increasingly vulnerable to climate-related stresses, such as droughts, floods, and extreme temperatures. The impact of climate variability and change on agricultural systems is a major concern, particularly in rural areas where people have limited capacity to adapt to these changes.
1.1. The Role of Agricultural Meteorology
Agricultural meteorology plays a critical role in supporting sustainable rural livelihoods by providing weather and climate information to farmers, policymakers, and other stakeholders. Operational agricultural meteorology involves the application of weather and climate information to improve agricultural decisionmaking, reduce climate-related risks, and enhance agricultural productivity. By integrating weather and climate information into agricultural decision-making, farmers can make informed decisions about planting, irrigation, pest management, and harvesting, ultimately leading to improved crop yields and reduced losses.
1.2. Objectives and Scope
This book aims to provide a comprehensive overview of the role of operational agricultural meteorology in supporting sustainable rural livelihoods. The book will explore the current state of agricultural meteorology, its applications, and its potential to improve agricultural productivity and reduce climate-related risks. The book will also discuss the challenges and opportunities in implementing operational agricultural meteorology, including the need for capacity building, infrastructure development, and policy support. This book is intended for a wide range of stakeholders, including:
• Agricultural meteorologists and researchers
• Policymakers and decision-makers in agriculture and rural development
• Farmers and agricultural extension agents
• Students and academics in agricultural meteorology and related fields
• Development practitioners and NGOs working in rural development and agriculture.