eChapters

The Internet of things connects the devices over Internet. The devices can communicate with each other and can be monitored and controlled remotely. The IoT is a system with interrelated computing devices, digital and mechanical machines, objects, animals or people each with an unique identifiers (UIDs ). It has the ability to transfer data over a network without human intervention. The Internet of Things is simply a network with Internet connecting the objects to collect and exchange the data. This chapter covers the basics of Internet of Things and its components.

2.1 Characteristics of IoT

Internet of Things can be used to design products for businesses. The added value to the businesses over IoT is created by the information which is collected by connected devices. The process has five phases of lifecycle, first phase is ‘create phase’, where sensors collects the data from environment. This data can generate the information. Second is ‘communicate phase’ where data generated in first phase is communicated to the required destination. Third is ‘aggregate phase’ where collected data over network is aggregated by device itself. Fourth is ‘analyse phase’ where aggregated data is used to generate patterns and use it to control and optimize the process. Fifth is ‘act phase’ where actions are taken on the basis of information extracted from the aggregated data.

The characteristics of IoT may vary from one domain to other. Few characteristics are listed as follows-

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.

Large Language Models (LLMs) have emerged as one of the most significant developments in artificial intelligence, transforming the way machines understand, process and generate human language. Their evolution reflects a progression from rule-based systems and statistical language models to neural networks, word embeddings, recurrent architectures and, ultimately, Transformer-based models. This chapter provides a comprehensive overview of this evolution and explains the technological breakthroughs that enabled modern LLMs. It discusses early language modelling approaches, the transition from N-gram models to distributed representations, and the contribution of deep learning and attention mechanisms. The development of influential models such as BERT, GPT, T5, XLNet, PaLM and LLaMA is considered to illustrate increasing capabilities in language understanding and generation. The chapter also examines core LLM capabilities, including question answering, dialogue, summarization, translation and multimodal processing. Finally, it highlights challenges involving hallucination, computational requirements, privacy, bias and responsible deployment, while outlining opportunities for future intelligent and trustworthy AI systems.

Introduction Market led extension effectively delivers sufficient and high-quality information to farmers so they can make decisions about production and marketing that willmaximize their return on investment without endangering the needs of future generations. Farmers must improve from being producers or sellers in the home market areas to producers cum sellers in a large market to best reap the benefits of their products. This necessitates the transfer of new extension strategies involving a range from local market to export markets, subsistence to commercial agriculture, productivity to profitability, commodity-oriented to farming systemsoriented, mono-cropping to varieties of crops, and so forth. The extension agents’ attention must be diverted from production in some way. Reducing production costs, increasing product value, and enhancing marketability will assist the farming community in receiving high returns for the products.

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.

Microscope is an instrument to magnify and enable to see the microorganisms by us.

Microscopes are of two types. Light and Electron microscope.

Basic Principles of light microscope

The light is the primary source on which magnification is performed. The magnification is obtained by a system of optical lenses using light waves. These light microscopes can be further classified into

India achieved food security through the adoption of high-yielding seed varieties, chemical fertilizers to boost soil nutrition, and pesticides to protect crops. However, this progress came at an environmental cost, including excessive fertilizer use that harmed both human and ecological health.
Natural farming, or prakritik kheti in Hindi, represents a traditional yet evolving approach to agriculture that promotes ecological balance, self-reliance, and sustainability. It is deeply embedded in India’s agricultural legacy, where for centuries, farming was done without synthetic chemicals or mechanization. Today, it is gaining renewed importance as a viable alternative to input-intensive farming, offering solutions to challenges like soil depletion, falling groundwater levels, rising costs, and environmental degradation.
Natural farming operates on the belief that nature is inherently self-sustaining. It avoids the use of chemical fertilizers, pesticides, and GMOs, instead relying on natural, locally sourced inputs to boost soil health and crop yield. This method emphasizes collaboration with nature rather than domination over it. Subhash Palekar’s “Zero Budget Natural Farming” (ZBNF) model, based on low-cost and chemical-free techniques, has been especially appealing to small and marginal farmers.
Soil health is central to natural farming. Techniques like mulching with crop waste, applying jeevamrit (a fermented solution of cow dung, urine, and natural additives), and treating seeds with bijamrit are widely used. These enhance soil microbes and improve its capacity to retain water and nutrients. Natural farming also promotes biodiversity through intercropping, crop rotation, and the use of indigenous seeds.

Abstract

An intellectual property infringement is the violation of an intellectual property right of the owner. Infringement is established based on the law governing appropriate IPR in the concerned country. Both civil and criminal remedies are available under the concerned law. The present paper introduces the patent infringement as per Indian Patent Act, 1970. It discusses various modes and types of infringements which can take place. It further discusses a procedure to formulate opinion about product infringing a granted patent. In the end some usual defenses against patent infringements have been discussed. Some case studies have also been presented along with the damages awarded for the patent infringement.

Abstract
Progressive agriculture represents the intersection of innovative practices and sustainable farming techniques aimed at improving productivity, environmental stewardship, and social responsibility in agriculture. As global challenges such as climate change, population growth, and resource scarcity intensify, the need for a progressive approach to agriculture becomes ever more critical. This chapter delves into the principles, practices, and benefits of progressive agriculture, tracing its evolution from traditional farming methods to modern, technology-driven approaches. The discussion covers key areas such as sustainable farming practices, precision agriculture, biotechnology, and the role of policy and education in advancing progressive agriculture. By integrating scientific advancements with ecological principles, progressive agriculture seeks to create resilient agricultural systems capable of sustaining future generations.
Keywords: Progressive agriculture, sustainable farming, precision agriculture, biotechnology, climate change, food security, agricultural innovation, environmental stewardship, policy in agriculture, agricultural
education.

The term project originates from the Latin word projectum derived from the Latin verb proicere, “before an action” which originates from pro-, signifying precedence, something that occurs prior to something else in timing, and icere, “to do”. The term “project” therefore initially signified “before an action. “. A project is a distinct kind of production system that produces a sole unit of product. Like, building a ship or a house, moving a department or a plant, developing a new product or performing a study are examples of such one-of-a-kind products.

In modern business and science, a project is a joint effort, encompassing research or design, that is carefully organized to accomplish a specific goal. The project can also be described as a collection of interconnected tasks to be performed within a defined timeframe and under specific budgetary and other constraints. Projects can be additional defined as temporary instead of enduring social systems or work systems that are formed by teams within or between organizations to achieve specific tasks under time constraints. And all must be expertly managed to deliver the on-time, on budget results, learning, and integration that organizations need. A project in business and science is a provisional endeavor engaged in to produce a distinct item, service, or result. Basically, it is planned to attain a specific goal. The aim of a project is to achieve its goal and subsequently conclude.

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.

The Renewable energy (also called green energy) is generally defined as energy that comes from resources which are naturally replenished on a human timescale. In other words, Renewable energy is energy derived from natural sources that are replenished at a higher rate than they are consumed. The most widely used renewable energy types are solar energy, wind energy,biomass energy, and hydroenergy.
India has made significant progress in the renewable energy sector, with renewable energy accounting for 43.12% of the country’s total installed power generation capacity. Globally, India ranks 4th in overall renewable energy capacity, 4th in wind power with 46.65 GW, and 5th in solar photovoltaic power with 85.47 GW. The country has surpassed 200 GW of non-fossil fuel energy capacity which includes 85.47 GW of solar power, 46.93 GW of large hydropower, 46.66 GW of wind power, 10.95 GW of biopower, 5.00 GW of small hydropower, and 0.60 GW of waste-to-energy capacity.
Presently India has set ambitious renewable energy targets. By 2030, the country aims to achieve 500 GW of non-fossil fuel energy capacity and meet at least 50% of its total energy requirements through renewable sources. These efforts position India as a global leader in the transition towards sustainable and clean energy.
In recent years, India’s renewable energy capacity has grown rapidly. As per the Ministry of New and Renewable Energy (MNRE, 2025), the country’s total installed renewable energy capacity (excluding large hydro) reached 220.10 GW by March 2025. When large hydro and nuclear power are included, the non-fossil fuel capacity has crossed 242.8 GW, representing over 50 percent of India’s total

Agriculture is the science and art of cultivating plants and livestock. Agriculture was the key development in the rise of sedentary human civilization. The history of agriculture began thousands of years ago. After gathering wild grains began 105,000 years ago, nascent farmers began to plant them around 11,500 years ago. Pigs, sheep and cattle were domesticated over 10,000 years ago. Plants were independently cultivated in at least 11 regions of the world. Industrial agriculture based on large-scale monoculture in the twentieth century came to dominate agricultural output, though about 2 billion people still depended on subsistence agriculture. This chapter discusses about the agriculture and robotics in agricultural field.

1.1 Introduction to Agriculture

The word agriculture is derived from a Latin word- “agri” means soil, and “culture” means cultivation of the soil. In modern terms, agriculture comprises “the art and science of cultivating the soil, growing crops and rearing livestock.”

Farming is a complete system which includes inputs, processing, and outputs. The inputs are seeds, fertilizers, machinery, which undergoes operations like ploughing, sowing, irrigation, weeding, and harvesting. The final outputs are like crops, dairy and poultry products.

Agriculture is undergoing a major transformation driven by digital technologies, artificial intelligence, and data-based decision-making. This chapter introduces the concept of smart farming and explains the transition from traditional agriculture to precision and digital agriculture. It discusses enabling technologies such as the Internet of Things, remote sensing, cloud computing, machine learning, and data analytics. These technologies facilitate real-time monitoring, precision irrigation, crop surveillance, yield forecasting, and efficient resource management. The chapter also examines the development of cyber-physical agricultural systems and the potential of automation. Challenges including data quality, infrastructure, cost, technology adoption, and the rural digital divide are also highlighted.

Soil fertility -importance

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