eChapters

7.1 Importance of Weather Forecast in Agriculture

In India, agriculture is in reality to be a “gamble activity” with the monsoon rain, that means the productivity and profit from agriculture depend upon the goodness of the season. If any malevolent weather situation that happens during a crop season, whether it is at the beginning of the crop season or at the mid of the crop season or at the terminal of the crop season or at the whole of the crop season, the productivity of the crops raised would be under stake. In practice the irrigated crop area is lesser than the area under unirrigated crop in India in any region except the regions where irrigation is routed through perennial rivers. Normally the production from unirrigated crop is 30 to 40 per cent of the same crop grown under irrigated condition in an environment in the same season.

In India, in a region or in a taluk, if the irrigated area is lesser than 30 per cent of total cultivable area, there is every opportunity for the occurrence of food shortage. That means assured production depends upon irrigation rather than managing the crops with seasonal rainfall alone. This clearly indicates that the higher probability of occurrence of crop production risks falls under rainfed/dry land situation. The crop production risk is also common to irrigated area like unirrigated crop but the intensity gets varied. In this context one example that happened in India can be quoted. During December- January of 1982, with the occurrence of heavy rain/snow as a result of prevalence of western disturbance weather system, the wheat crop stood for harvest at Punjab got damaged with a loss of 124 crore of rupees. If this was anticipated earlier through weather forecast development, (which is common in all developed countries) and communicated to the farmers in advance, then the yield loss would have been reduced by following some tactical decisions to be taken either by the farmers or by the concerned Government. At that time, India did not have medium range weather forecast system and hence Indian farmers met with greater losses.

In the evolving landscape of agricultural sciences, integrative research models have emerged as a cornerstone for addressing complex, multifaceted challenges. These models bridge the gap between theoretical frameworks and their practical applications, ensuring that innovations are not just conceptual but also actionable and impactful. This chapter delves into the essence of integrative research models, highlighting their significance, successful case studies, and strategies to foster their adoption and effectiveness in agricultural progress.
8.1. The Need for Integrative Research Models
Agriculture today is at the nexus of critical global challenges, including climate change, food security, biodiversity loss, and resource scarcity. Traditional, siloed research approaches often fall short in addressing these interconnected issues. Integrative research models offer a paradigm shift by combining insights from diverse disciplines such as agronomy, ecology, economics, data science, and social sciences. This approach not only enhances the depth of understanding but also ensures that solutions are holistic and sustainable (Fig. 8.1).
One of the primary drivers for adopting integrative research models is the increasing complexity of agricultural systems. Modern agriculture is no longer

Intellectual property (IP) encompasses creations of the human intellect, including inventions, artistic and literary works, as well as symbols, names, and designs. Intellectual property rights (IPR) are legal mechanisms thaprovide creators with exclusive rights to use, manage, and profit from their creations. These rights help protect the interests of innovators and promote continued creativity and innovation.
Intellectual Property Rights refer to the legal entitlements granted to individuals or organizations over their creative and intellectual works, such as patents, trademarks, and copyrights. These rights grant exclusive control or usage privileges for a specific duration, often creating a temporary monopoly. While the concept of intellectual property began to take shape in the 19th century, it was only during the 20th century that it was formally integrated into global legal frameworks.
Intellectual Property Rights (IPR) safeguard the creations of the human mind, such as inventions, artistic and literary works, brand names, logos, designs, and images used in commerce. These rights help foster innovation by allowing creators and inventors to benefit economically from their work.
Key Points
1. Intellectual Property Rights are legal protections acquired by creators or owners of intellectual works.
2. Intellectual property encompasses intangible assets that result from human creativity and thought.

The chapter will delve into the fundamental physics governing energy exchange at the Earth’s surface and how water is managed within the soil profile. These concepts are crucial for understanding microclimate, evapotranspiration, and overall water availability for crops. This chapter explores the intricate interactions between incoming solar radiation, its transformation into various energy forms at the Earth’s surface, and the dynamic movement and storage of water within the soil. Understanding these processes is vital for agricultural meteorology, as they directly influence temperature, humidity, and water availability for plant growth.The Earth’s surface, particularly a vegetated land surface, continuously exchanges energy with the atmosphere. The Surface Energy Budget quantifies these energy fluxes, explaining how incoming solar radiation is partitioned. It operates on the principle of conservation of energy: the energy received must equal the energy expended or stored (Fig. 6.1). The Earth’s surface energy budget numbers derived from Kiehl-Trenberth 1997. The surface of the Earth is cooled 40 W/m2 by radiation; this part of surface radiation is radiated straight into Space. 324 W/m2 of all outgoing surface radiation returns nearly simultaneously as back radiation. The remaining 26 W/m2 of surface radiation is absorbed by greenhouse gases and results in the warming of the atmosphere near the

Introduction

In the last two decades global climate change has perceptible and marked impact on the monsoon pattern in India. Delayed and inadequate monsoon has become a recurrent feature and the country is in the grip of drought-flood cycles. Right from the beginning of large scale irrigation that brought green revolution and food self sufficiency to the country, there is a strong feeling that full potential of rivers of the country is not tapped (Table 1).

ABSTRACT

A study was conducted to compare inter-sensor variability by computing vegetation indices, NDVI & SR. The two sensors compared were Hyperion and ALI (Advanced Land Imager) present on EO-1 satellite. Hyperion is a hyperspectral sensor having a spectral range of 400-2500nm with 10nm bandwidth. ALI is a multispectral sensor with 10 bands of 100nm bandwidth. Hyperion and ALI data were acquired at the same time for two different seasons, dry (April) and wet (October) seasons over Shoolpaneshwar Wildlife Sanctuary, Gujarat, India. Vegetation indices such as SR “ Simple Ratio and NDVI -Normalized Differential Vegetation Index were performed. Seasonal variations were observed in both the data sets. For SR index, Hyperion performed well using October month data. In comparison with ALI, Hyperion showed high NDVI for both deciduous and evergreen species using October month data. The highest NDVI value is assumed to represent the maximum vegetation “greenness” during that period. Results clearly indicated the superiority of Hyperion in vegetation analysis using NDVI & SR indices.

Keywords : Hyperion data (EO-1), ALI (Advance Land Imager),Shoolpaneshwar Wildlife Sanctuary, NDVI, Simple Ratio (SR)

Extreme weather events, such as hurricanes, droughts, and floods, have become increasingly frequent and intense in recent years, posing significant threats to agricultural productivity, food security, and rural livelihoods. The impacts of extreme weather events can be devastating, resulting in crop failures, livestock deaths, and damage to infrastructure and property. Traditional approaches to dealing with extreme weather events have often focused on top-down, expertdriven solutions, where external experts provide advice and guidance to farmers and rural communities on how to prepare for and respond to extreme weather events. However, these approaches have often been criticized for being ineffective, unsustainable, and neglecting the needs and perspectives of local communities.
In recent years, there has been a growing recognition of the importance of interactive community approaches for dealing with extreme weather events. These approaches involve working closely with local communities to identify their needs, priorities, and capacities for dealing with extreme weather events. They also involve empowering local communities to take ownership of their own disaster risk reduction and management efforts, through the provision of training, resources, and support.
A critical component of these interactive community approaches is the development and implementation of Early Warning Systems (EWS). EWS are designed to provide timely and accurate warnings to communities about impending extreme weather events, allowing them to take necessary precautions to minimize losses and protect their lives and livelihoods (Fig.8.1).

Historical perspective: Planting of single crops or mono-cultural agriculture—is a recent invention of the industrial agricultural complex (Hirst, 2019). While unequivocal archaeological evidence is difficult to come by, it’s believed that most agricultural field systems in the past involved some form of mixed cropping. That’s because of even botanical evidence of plant residues such as starches or phytoliths of multiple crops are discovered in an ancient fields (Hirst, 2019). Mixed cropping, also known as polyculture, or co-cultivation, is a type of agriculture that involves planting two or more crop plants simultaneously in the same field so that they grow together. The primary reason for prehistoric multi or mixed cropping probably had more to do with the needs of the farmer’s family and perhaps to avoid crop failure. It’s possible that certain plants adapted to multi-cropping over time disappeared as a result of the domestication process (Hirst 2016).

Introduction

The characteristic features of a city are the result of the combination of various factors like topography, climate, history, economy, culture, etc. since these characteristics vary; every town/city is unique and has certain distinctive characteristics. These urban characteristics are, however, never static. They change both over time and space.

With the development of the economy, other factors like population growth, urbanization and improved technology have a combined effect on urban settlements, which grow bigger and more complex. The study of the internal structure of cities by urban geographers is a study of the structural and demographical variations (i.e., variations in building size, shape, height, function and social status) of urban settlement.

Theories on the Internal Structure of Cities

The internal structure of cities has attracted many generalizations in the form of theories. These theories have attempted to explain the city structure by examining cities at any location in a country largely from sociological viewpoint. The different theories on the internal structure of cities are the Concentric Zone theory of Burgess, Sector Theory of Hoyt, the Multiple Nuclei Theory of Ullman, the Social Area Analysis of Murdie and the Exploitative Model of William Bunge.

7.1 INTRODUCTION

Web technology revolutionised information technology and GIS of no exception. Analysis of maps available in internet through remote personal computer is called as web GIS. The term web is GIS synonymous with the term internet GIS. Most of the software vendors in the field of GIS have developed their GIS compatible to internet. The advantage of internet GIS is no need to own a GIS software in the personal computer. Maps available in a web site can be analysed for GIS functions as one could do with GIS in standalone personal computer. Applications of web GIS is not limited. Most of the governmental agencies, business people and others put their data in their server and the data could be analysed spatially for the users requirement. Internet mapping is simple, cost effective and reach vast audience.

Internet GIS is useful in field like civil engineering, government organisations, forestry, environment, goescience, utility planning etc.

Internet of Things (IoT) is networking of physical objects, devices, machines, systems etc to interconnect each other for exchanging data through standard internet protocols. The IoT is also termed as Machine-to-Machine (M-to-M) communication. The term ‘Things’ in IoT includes objects embedded with sensors, actuators, mobile phones, routers, hubs, computers, wearable’s and smart devices etc.

Introduction

Famous French postmodern philosopher Jean Baudrillard commented on information once. “Information can tell us everything. It has all the answers. But they are answers to questions we have not asked, and which doubtless don’t even arise.” This seemingly paradox observation fits contemporary Internet age perfectly. Internet is a vast repository of information of all kinds and is bursting on its seams. The seeker needs to search with monumental grit and determination to have a full handle on the range of information available for any particular search. A search string for GIS returns more than 1185000 results, in a mere 0.26 seconds. Recommending a comprehensive resource list is not possible as new material gets continually added by way of additions and updates. However for a beginner the list given below will be handy. The flip side is GIS has innumerable resources and a broad range of content. Software vendors, organizations, individuals, universities and companies have provided a wealth of information. The readers are exhorted to make use of the materials to improve their understanding of the subject.

Interpretation of Drainage Patterns Through Aerial Photographs

Aerial photographs can provide a useful tool for interpreting the drainage patterns of a landscape. Drainage patterns are formed by the natural movement of water across the land and the way in which it flows from high to low areas, creating channels and streams that eventually converge into larger rivers and bodies of water. Different types of drainage patterns can be identified through aerial photographs, which can help to understand the underlying geology and topography of the landscape.

Here are some of the different drainage patterns that can be identified through aerial photographs:

1. Dendritic pattern

This pattern resembles the branches of a tree and is the most common type of drainage pattern. It occurs in areas where the underlying rock or soil is uniform and has no preferred direction of erosion. The streams converge into larger rivers, which may flow in a particular direction.

Rock

A rock is a solid, naturally occurring substance composed of minerals or mineraloids. It is typically formed through geological processes, such as cooling and solidification of molten lava or magma, or by the deposition and compaction of sediment over time. Rocks are classified into three main types based on their origin: igneous, sedimentary, and metamorphic.

Igneous rocks: Formed from the cooling and solidification of molten lava or magma. Examples include granite, basalt, and obsidian.

Sedimentary rocks: Formed from the accumulation and compaction of sediment, such as sand, mud, or organic matter, over long periods. Examples include sandstone, limestone, and shale.

Metamorphic rocks: Formed from the transformation of existing rocks under high temperature and pressure conditions. They undergo changes in mineral composition, texture, and structure. Examples include marble, slate, and gneiss.

Rocks serve as the building blocks of the Earth's crust and are an essential part of the geological processes that shape the planet. They can provide valuable information about Earth's history, including the formation of mountains, the movement of continents, and the presence of ancient life forms. Rocks are also used in various practical applications, such as construction, road building, and the production of minerals and resources.

Structural landforms are landforms that are created due to the underlying geological structures of the earth's crust. These structures can include folds, faults, and other features that have been formed due to the tectonic forces that have shaped the earth's surface over millions of years.

Examples of structural landforms include mountain ranges, plateaus, and rift valleys. Mountain ranges are formed due to the upliftment of the earth's crust along a fault line or due to the folding of the earth's crust. Plateaus are flat-topped landforms that are formed due to the upliftment of a large area of the earth's crust. Rift valleys are formed due to the stretching and pulling apart of the earth's crust along a fault line.

Denudational landforms, on the other hand, are landforms that are created due to the process of erosion and weathering. These landforms are formed due to the gradual wearing down of the earth's surface by natural forces such as wind, water, and ice.

Ever since industrial revolution altered the whole gamut of economic activity at least two hundred years ago, the path of economic growth including its modified form economic development had appeared unending and limitless. The whole focus of economic activity is to produce mere goods and services for use by the mankind so that life could be more comfortable and satisfying. Increasing population and increased needs of more goods and service was also seen as a hindrance or limitation in the march towards economic growth and development.

Biotechnology plays a very important role in agriculture as a result of its ability to modify microorganisms, plants, animals, and agricultural processes. The umbrella of microbial technology in agriculture covers numerous scientific activities, ranging from production of biofertilizers to that of microbial pesticides; from biological nitrogen fixation to lignocellulose degradation; from production of biomass and biofuels to transgenic plants. Terrestrial ecosystem contains an important dynamic living matrix termed soil, which is critical for agricultural production and food security. Soil forms the medium for growth and maintenance of a variety of plant species. Soil is considered a store house of microbial activity, though the space occupied by living microorganisms is estimated to be less than 5% of total space.

Introduction

Quantum Geographical Information System (QGIS) is an open source GIS environment. The software package is available freely in web https://www.qgis.org/en/site/forusers/download.html) and can be installed in a variety of computer platform e.g. Windows, Linux, Mac OS X, Android etc. Latest information on QGIS is available inhttp://www.qgis.org/en/site/. Basically, the QGIS GUI is divided into five areas: (i) Menu Bar, (ii) Tool Bar (iii) Map Legend, (iv) Map View and (v) Status Bar. QGIS allows users to define a global and project-wise coordinate reference system (CRS) for layers without a pre-defined CRS. It also allows the user to define custom coordinate reference systems and supports on-the-fly (OTF) projection of vector and raster layers. All of these features allow the user to display layers with different CRSs and have them overlay properly. QGIS has support for approximately 2,700 known CRSs. Definitions for each CRS are stored in a SQLite database that is installed with QGIS. The CRSs available in QGIS are based on those defined by the European Petroleum Search Group (EPSG) and the Institute Geographique National de France (IGNF) and are largely abstracted from the spatial reference tables used in Geospatial Data Abstraction Library (GDAL). For Post GIS layers, QGIS use the spatial reference identifier that was specified when the layer was created. For data supported by OGR, QGIS relies on the presence of a recognized means of specifying the CRS. In the following sections, few basic GIS analysis using example spatial data from arid western India is discussed. However, readers are advised to go through different tools and functions available in QGIS after installation of the system in personal computers.

Agriculture, the bedrock of human civilization, has always been intimately intertwined with the vagaries of weather. From the earliest cultivation efforts, the success or failure of harvests has been profoundly influenced by temperature, rainfall, sunlight, wind, and humidity. Agricultural meteorology, at its core, is the study of the relationship between meteorological conditions and agricultural production. It encompasses understanding how weather and climate impact plant growth, animal husbandry, pest and disease outbreaks, and overall farm management. This field seeks to apply meteorological knowledge to optimize agricultural practices, enhance productivity, and mitigate the adverse effects of weather-related risks.
While today we rely on sophisticated instruments, satellite imagery, and complex computer models to forecast and analyze weather for agriculture, our ancestors possessed an astute understanding of the natural world, honed through generations of observation. In ancient times, the acquisition of weather information for agricultural planning was a deeply empirical and often culturally embedded process.
Without thermometers, rain gauges, or barometers, early agricultural communities relied heavily on direct observation of natural phenomena. They meticulously watched the sky, noting the color and movement of clouds, the intensity and duration of rainfall, and the prevailing wind patterns. The appearance of halos around the sun or moon, the frequency of lightning, and even the behavior of animals were often interpreted as harbingers of impending weather changes.

1.1 Forest Resources

Forest resources usually provide the raw materials for homes, workplaces, the books and newspapers, and the packaging that contains food and other products of our labor. Forest ecosystems supply our water, maintain our climate, and help purify the air, protect soils, and provide for wilderness experiences. Forests provide habitat for wildlife, and serve as preserves of biological diversity. Forests are sources of food, fuel and medicine for people all over the world. Forests shape the recreational landscape, help stabilize our farms, and enhance our cities.

About 30 per cent of the world’s total land areas are covered by forest with the area of 3.9 billion hectares. Nearly 47 percent of the world’s forests are in the tropics, 33 percent in the boreal zone, 11 percent in the temperate zones, and 9 percent in sub-tropical areas. The 94 million hectares of forest lost over the ten-year period, represented about 2 per cent of the world’s total forest cover, or an area larger than Venezuela. Two thirds of the world’s forests are located in ten countries: the Russian Federation, Brazil, Canada, the United States, China, Australia, the Democratic Republic of the Congo, Indonesia, Angola and Peru. Most of the deforestation work was performed in natural tropical forests, which lost 14.2 million hectares a year over the last decade. Africa and South America have suffered the most deforestation.

Africa was the region with the highest deforestation in the world, which lost 5.3 million hectares of forest per year in the 1990s. Forests are a major factor in the climate change issue. Forest ecosystems contain more than half of all terrestrial carbon, and account for about 80 per cent of the exchange of carbon between terrestrial ecosystems and the atmosphere. Deforestation in the 1980s may have accounted for a quarter of all human-induced carbon emissions, the second greatest emitter after fossil fuels. Forest plantations comprise 5 percent of the world’s forests. Asia has the largest area of plantations, accounting for 62 per cent of the world total. China accounts for 24 percent of that total and India, 18 per cent. Plantations supply about 35 percent of the world’s round wood. The area of forest plantations increased by an average of 3 to 4 million hectares per year during the 1990s. Half of this increase was the result of afforestation on land previously under non-forest land use, whereas the other half resulted from conversion of natural forest. There are reports that 12 percent of the world’s forests, or about 480 million hectares, are in protected areas.