eChapters

IoT networks and smart sensors enable continuous livestock monitoring, overcoming the delay and subjectivity associated with manual observation. This chapter reviews sensor types, communication systems, cloud and edge computing, and their applications in animal-health and behaviour tracking. It proposes a framework integrating multimodal sensors with IoT networks and machine-learning models such as CNNs and LSTMs. The system can detect abnormalities, predict health conditions and provide real-time decision support. Practical benefits include earlier intervention, improved welfare, reduced labour and more efficient production. The chapter also addresses implementation problems, costs, connectivity, data security, technical reliability and ethical considerations associated with constant digital monitoring of animals.

Artificial brainpower (Artificial Intelligence) is quite possibly of the quickest developing innovation in this cutting edge world. Artificial intelligence is presently broadly utilized in different enterprises going from the improvement of mechanical technology to the observing of natural issues. Computer based intelligence innovation has evident extensions in medical services gadgets, self driving vehicles, satellite imaging, scene planning, Climate change checking, also medical services frameworks. Artificial intelligence has heightened the improvement of mechanical technology across the globe that has made the life very simpler and added to a greatly improved existence of prosperity. Artificial intelligence interceded robot of a few areas including farming will create great quality items with more positive effects on Climate. Artificial intelligence utilizes various Smart sensors that cycle information progressively with higher precision. Consequently, Artificial intelligence has upgraded the presentation of any gadget to a few folds with more prominent reasonableness and Precision in their results. Computer based intelligence with Smart sensors has lead to the improvement of a cutting edge innovation called as Internet of Things (IoT). IoT is center of remote frameworks and Artificial intelligence manages information progressively and creates suitable results. This innovation has been taken on in pretty much every area of science and examination. IoT based advanced advancements can possibly create inventive models for improved creation of buyer items including agro-items.
Agriculture is fundamental piece of people local area. It is overhauled with time to increment rural production. Present day advancements has additionally been utilized in farming, agriculture, also ranger service for better observing of plant development, sicknesses, and bug populace. Artificial intelligence and IoT have various expanding extensions in farming to settle different issues such as soil conditions, Climate status, bother discovery, assurance of collecting time, etc. Likewise computer based intelligence and IoT offers fantastic extensions for continuous observation of temperature, dampness, contamination, soil quality, water content, radiation, and others. Brilliant

Introduction

‘IP’ refers to unique, value-adding creations of the human intellect that results from human ingenuity, creativity and inventiveness. An IP right is thus a legal right, which is based on the relevant national law encompassing that particular type of intellectual property right. Such a legal right comes into existence only when the requirements of the relevant IP law are met and, if required; it is granted or registered after following the prescribed procedure under that law. All countries around the world have a national legal system of intellectual property rights which has developed over varying periods of time during the last 150 years or so. It has enabled the grant of property-like rights over such new knowledge and creative expression of mankind, which has made it possible to harness the commercial value of the outputs of human inventiveness and creativity. This is usually done by its orderly use, exchange or sharing it amongst various types of business partners in a complex network of strategic relationships that generally work harmoniously during the new product development process for creating and marketing new and improved goods and services in domestic and export markets.

IPR is a tool for Innovation and reward for it. Innovations are concerned with the commercialization of new ideas; in contrast, an ‘invention’ may not be directly associated with commercialization. As such, innovation may be seen as a process of interaction and feedback during the various stages of the new product development process. An invention is considered as the generation of a new idea or knowledge, which aims to solve a specific technical problem. Inventions could relate to products or processes and are characteristically protected by trade secrets, utility models/petty patents or patents. Utility models/petty patents or patents are granted/registered under the relevant national/regional law by the relevant national or regional patent office. As not all inventions are commercialized, so it is clear that not all inventions result in innovations.

Keeping in view the importance of intellectual property rights and their protection, Journal of Intellectual Property Rights (JIPR) was started in 1996. The objective of the journal is enhancing communication between policy makers, organizational agents, academics, and managers on the critical understanding and research on intellectual property; and to promote the development of the newly cultivated research field. The journal publishes contributed/invited articles, case studies and patent reviews; technical notes on current IPR issues; literature review; world literature on IPR; national and international IPR news, book reviews, and conference reports.

JIPR is covered in the abstracting/ indexing services namely Scopus, EBSCO host Electronic Journals Service, Directory of Open Access Journal, Library & Information Science Abstracts database and Legal information Institute of India database.

ABSTRACT

This paper attempts to portray prevailing scenario of IPR in the light of globalization with special emphasis on harmonization of IPR systems and laws of different countries. 

INTRODUCTION

The globalization of information, facilitated by the Internet, has significant implications for intellectual property regimes of national and international levels. Assessment of these implications and their probable outcomes is unavoidably value-driven. Globalization represents ever-increasing influence of developed nations and transnational entities over developing and less developed nations. The process has also brought in significant changes in understandings of sovergenity. An analysis of the implications of globalization of information on international and domestic intellectual property rights and legal regimes is a complex endeavor.

ABSTRACT

This paper discusses IPR concepts in the light of Indian culture and issues emanating from enforcement of those concepts in developing countries such as India.

INTRODUCTION

The adage “Knowledge is wealth” suits the present era well than any other period. India is known for its innovative thoughts since ages. However, it never monopolized the knowledge it possessed. In India, the knowledge of a person is thought to be utilized for the benefit of the society as an obligation of the knowledge holder. Does this mindset of Universal humanity (Vasudevo Kudumbagam) and common good (Sarva Sugino Bavandu) would benefit us in the materialistic society? This paper is an attempt to answer this query.

I. INTRODUCTION & OVERVIEW

Intellectual property rights may be defined as the legal relationships that arise out of an individual’s creative gifts and the communication to society of his or her intellectual creations. Intellectual property is challenging as well as rapidly widening horizon of law. The purpose of law is to encourage and reward creativity and intellectual effort. The prominence of this branch of law in India is partly due to India’s economic structure and its geographical position in the world. Many international companies operate in India either directly or through licensees or agents. Numerous goods, services, and technological developments have overseas origins. Foreign companies often control their interests through contract but they invariably do so by means of copyright law, obtaining of patents or by registration of trade-marks and designs. It follows that in particular circumstances intellectual property remedies are most convenient method of maintaining control, or at least a useful adjunct to other remedies based on contract. Another important factor is the upsurge in “piracy” that is occurring not only in India but also in almost every other part of the world. Piracy may originate outside India, or, it may also originate in lndia. While devising legal apparatus for the welfare and protection of creative people, we must not lose sight of the public interest in the greatest measure of access to information and culture. Intellectual property rights are significant wealth- creating assets and their protection and commercialization are of increasing economic significance. In past the value of such rights was often overlooked and it is only in recent years that the economic potential of intellectual property has started receiving greater recognition. The dawn of the third millennium which has led to the emergence of knowledge capitalism with emphasis on intangible assets such as knowledge, competencies and intellectual property is a defining movement in the history of mankind. It is a defining moment in the history of mankind because the historical forces set in motion by the digital revolution has spawned a new civilization characterized by path breaking inventions and technological innovations and the opening up of the electronic frontier. It is an age of digital renaissance which combines the marvels of the Age of Discovery and the excellence of medieval Renaissance rolled into one. As a result of the information technology revolution there is a transition from industrial society to information society. Convergence of computer networks and communication technologies facilitated by the digital revolution has given birth to Cyberspace which in turn has ushered in knowledge economy. Hence, the intellectual property law faces challenges. In this background the concept, nature and development of intellectual property rights are proposed to be examined. The paper will be divided into V more parts. Part II of the paper will outline the meaning concept of intellectual property and range of subject matter protected by law, part III will examine the jurisprudential justifications of intellectual property protection, part-IV will explore the evolution and development of intellectual property rights under international law, part-V will demonstrate the evolution and development of intellectual property rights under Indian law. And part-VI will conclude the subject.

History of jute in India: In Mahabharata times the mention has been made regarding Jute garments as pattagam (patta produced) for jute fibre products and kitajam (insect produced) for silk products. In Ain-e-Akbari, there is mention of sack cloth made from jute, in Rangapur district.

In this chapter we will look at the Expert system which can guide and assist an individual once it is provided with the enough Knowledge to do so. Here we will discuss about expert system and its architecture with proper steps of making an expert system in any field by several tools which are available to do so. For expert systems the most important is Knowledge Engineering which is the collection of Knowledge from an expert and Engineering it in such a form that a machine could understand it.

Introduction

One of the pioneering fields of AI study is Expert Systems (ES). It is proposed by researchers in the computer science department of Stanford University. An expert system is a computer system which emulates a human expert’s decision-making skills. Expert systems are developed by reasoning through information structures, representing laws, rather than through traditional procedural code, in order to overcome complex problems.

Expert Programs use professional expertise systematically to address human expert problems. An expert is an individual with experience in a specific field. The expert has expertise or special credentials which most people do not learn or care about. An expert can solve or solve problems more effectively than people can solve. Expert System actually emulates all these qualities of expert and solve the problem in a better way and fast.

Today, Expert System (ES) is used in the fields of finance, research, engineering, technology, medicine and many others where there is a well-defined problem area. The fundamental principle is that an expert method should also define the steps to illustrate why a problem can be solved. Unless an individual can justify his reasoning for Expert System.

Introduction

In geographical location, the observations taken in proximity tend to be more alike than observations made at points that are far apart-that is, the values tend to be correlated. An area of study that takes this sort of spatial consideration into account is called geostatistics. A primary motivation for sampling is to make meaningful estimates of values at nearby positions in space and time. When values are assumed independent, the best estimate for an unmeasured point will be the mean. However, for correlated values nearby values are estimated by interpolation. The simplest interpolation scheme is a nearest neighbor estimate for which the unknown values are based on the closest measured location. Inverse distance is another sort of interpolation technique where weights are estimated based on the inverse distance squared. Kriging is a geostatistical interpolation technique that considers both the distance and the degree of variation between known data points when estimating values in unknown areas.

It makes the best use of existing knowledge by taking account of the way that a property varies in space through the variogram model. In its original formulation a kriged estimate at a place was simply a linear sum or weighted average of the data in its neighbourhood. Weights are based on the distance between the measured points, the prediction locations, and the overall spatial arrangement among the measured points. Since then kriging has been elaborated to tackle increasingly complex problems in mining, petroleum engineering, pollution control and abatement, and public health. The term is now generic, embracing several distinct kinds of kriging, both linear and non-linear.

6.1 Introduction

This chapter describes the development of data logger of agricultural field parameter monitoring system with LabVIEW. The system comprises of two sections- Fields device and data logger. Field device comprises of Arduino, smoke detector (for sensing hazardous gases), soil moisture sensor, temperature sensor, humidity sensor, water level sensor, battery, display unit, 2.4 GHz RF modem. Data logger comprises of Arduino, display unit, 2.4 GHz RF modem, power supply, PC with LabVIEW. The system is designed to monitor the environment and agriculture field parameters. The field device is designed to collect all physical parameters and communicate it to the receiver end with LabVIEW. For establishing communication between two sections 2.4GHz RF modem is used, which can be replaced with any other modem also.Fig.6.1 shows block diagram of field device and Fig.6.2shows block diagram of data logger.Table.6.1 & Table.6.2 shows the component list required to develop the field device and data logger.

10.1 Lambda Function

Lambda Function or anonymous function in python programming

A lambda function can take any number of arguments, but can only have one expression.

Syntax:

Lambda arguments: expression only single line

The expression is executed and the result is returned.

Example

x=lambda a:a+10

Print(x(5))

Abstract

Land degradation is defined as human induced or natural process that negatively affects the lands to function effectively. It is temporary or permanent lowering of the productive capacity of land (UNEP, 1992). Several definitions of land degradation have been suggested by different authorities to express the degree of deterioration in potential of land in terms of physical, chemical and biological aspects. It has both environmental and economic consequences. The information on land degradation is needed for a variety of purposes such as to improve productivity levels in degraded lands through reclamation programmes, rational land use planning and also to bring more areas under cultivation.

Large Language Models are increasingly transforming software engineering by enabling automated code generation, completion, debugging, translation and documentation. This chapter examines how Transformer-based architectures trained on source code and natural-language datasets have expanded the capabilities of intelligent programming systems. It begins with the architectural foundations of code-oriented LLMs and explains how self-attention enables models to capture complex relationships within programming languages. The chapter discusses applications throughout the software development lifecycle, including natural-language-to-code generation, code completion, code translation, refactoring, automated unit testing, bug detection and documentation generation. It also examines training and fine-tuning methodologies and evaluation metrics designed to assess code correctness, functionality and quality. Deployment considerations such as latency, security, computational cost, licensing and human oversight are addressed. Particular attention is given to risks associated with hallucinated code, unreliable outputs and generalization beyond training distributions. Emerging directions, including Retrieval-Augmented Generation, continual learning and formal verification, are considered as mechanisms for improving reliability and developer trust.

I. MANDATE OF COPYRIGHT LAW

The importance of intellectual property rights has arisen in recent years to a great extent. The law of copyrights protects original forms of expression i.e. Novels, Movies, Musical compositions and computer software etc. Earlier it was mainly confined to the -published Work and owner of it could prevent others from getting it published in the form of books or articles in order to get benefit in terms of money or goodwill or reputation. In case of such undue enrichment, the owner had a valid cause of action. The owner of the copyright has a valid cause of action against the violator. At present even in case of its adoption and translation or abridgement, it is obligatory to have consent of author. The main purpose and object of copyright law is to protect the expression in any other form from unauthorized use. Since 1847, the copyrights law is in developing stage so, many legislations has been enacted.1 With the changing of times, the meaning of expression also changes and the style of exhibit the things also changed. The right of author who gives expression in any form is protected from unauthorized use.

As we have seen how artificial Intelligence can be useful in agriculture but the nest question always come in mind is that from where and how we can start to learn and what are the model of learning an artificial Intelligence. As Artificial Intelligence is a huge part of Computer Science which means we need an language as medium to perform it and we always prefer Python for that which is very dynamic and easy to learn. In this chapter we will learn about python basics so that in further implementation of artificial Intelligence it will be helpful to us.

I. Introduction

Python is a remarkable language that can claim to be easy and strong. You will be amazed to see how simple it is not to focus on the language you are programming, but on solving the problem. Guido van Rossum was the creator of the Python language which is named after the BBC show “Monty Python’s flying Circus”.

Python is formally introduced as:

“Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.”

Introduction 
The transformation of governance through digital means represents one of the most consequential shifts in contemporary public administration. Digital governance or e-governance entails strategically applying information and communication technologies (ICTs) to enhance the accessibility, efficiency, transparency, and responsiveness of government functions and public service delivery. In India, this digital shift has accelerated over the past two decades, driven by imperatives to modernise the state apparatus, promote inclusive development, and meet the rising expectations of a digitally literate citizenry. A complex interplay of demographic diversity, federal administrative structures, and asymmetries in socio-economic development shapes India’s trajectory toward digital governance. The proliferation of mobile devices, growth in internet penetration, and public investments in digital infrastructure have enabled a gradual shift from paper-based systems to platform-based governance. Concurrently, global paradigms such as open government, digital inclusion, and citizen-centric innovation, captured in international indices like the UN E-Government Development Index and the World Bank’s GovTech Maturity Index, have influenced national aspirations and strategy formulation. However, these technological and global catalysts can only be transformative when embedded within a coherent legal and policy framework that ensures institutional legitimacy, citizen trust, and systemic accountability. In this regard, digital governance’s legal and policy foundations are critical for establishing enabling conditions for its practical and equitable implementation. As highlighted by Sachdeva (2002), the transition to digital modes of governance requires not only the removal of outdated regulatory provisions but also enacting new laws on digital authentication, electronic records, data protection, cybercrime, and privacy. Additionally, procedural simplification through single-window systems, interoperability standards, and e-payment protocols is essential to reduce administrative friction and promote

I. ROLE OF INTELLECTUAL PROPERTY

The international community has set itself the target of reducing the proportion of people below poverty line to half by 2015, along with associated specific targets for improving health and education and environmental sustainability. The Millennium Development Goals, adopted at various international fora, recognize the crucial importance of reducing poverty and hunger, improving health and education, and ensuring environmental sustainability. It is important to know whether and how intellectual property rights (IPRs) could play a role in helping the world meet these targets — in particular by reducing poverty, helping to combat diseases, enhancing access to education and contributing to sustainable development, protecting our cultural heritage, safeguarding the food security for the country. It is also necessary to deliberate whether and how they create obstacles to meeting those targets and, if so, how those obstacles can be removed.

There are strong views from both sides on the protection and enforcement of IPRs though there is no data to check these views objectively. Some argue strongly that IPRs are necessary to stimulate economic growth, which in turn, helps in poverty reduction. By stimulating invention and new technologies, IPRs help to increase agricultural or industrial production, promote domestic and foreign investment, facilitate technology transfer and improve the availability of medicines necessary to combat diseases. They are also of the view that there is no reason why a system that has worked for developed countries would not work for developing countries. Others argue equally vehemently the opposite. IPRs do little to stimulate invention in developing countries, because the necessary human and technical capacity may be absent there. In assessing these opposing arguments, it is important to remember the technological disparity between developed and developing countries as a group. What role the intellectual property can play to plug this gap is a serious subject for every developing nation? For this, it is also pertinent to know about the IPRs, the challenges they pose to the legal system in general and to the Indian legal system in particular, and their basic rationale to take a considered approach in their implementation.

Introduction

The influence of various socio-economic factors on the willingness of the decision makers to adopt new technologies has been investigated by a number of studies (Roe, 1983; Shakya and Flinn, 1985; Thomas et al., 1990). In most studies of adoption behaviour, the dependent variable is constrained to lie between 0 and 1 and the models used are exponential functions (Kebede et al., 1990). However, the decision to adopt a new technology can be very effectively captured using binary choice models. Binary choice models are appropriate when the choice between two alternatives depends on the characteristics of the problem. Application of a linear probability model to this type of problem, however, suffers from a number of deficiencies (Capps and Kramer, 1985), particularly, the one associated with the estimated probabilities in some cases being greater than one or lesser than zero as a result of neglecting significant interaction effects (Mingche, 1977). These deficiencies could be circumvented through the use of a monotonic transformation (probit or logit specification) which guaranties that predictions lie within the unit interval (Capps and Kramer, 1985). Univariate logit and probit models and their modified forms have been used extensively to study the adoption behaviour of farmers and consumers (Schmidt and Strauss, 1975; Garcia et al., 1983; Shakya and Flinn, 1985; Harper et al., 1990). According to Hanushek and Jackson (1977), the choice between logit and probit models is largely a matter of convenience. However, Maddala (1983) and Shakya and Flinn (1985) have recommended probit models for functional forms with limited dependent variables that are continuous between 0 and 1, and logit models for discrete dependent variables.

Model Specification

Univariate logit model is generally used to study the adoption behaviour of farmers and consumers.

The model is estimated using the maximum likelihood method.

Introduction

Regression analysis is one of the most widely used techniques for studying relationships involving multiple variables for analysing data by expressing a relationship between a variable of interest (the response) and a set of related predictor variables. The regression models include linear and non linear approaches assuming appropriate functional forms. A good account on regression analysis and related topics can be found in Draper and Smith (1998), Montgomery et al. (2001), Chatterjee and Hadi (2006) etc. In this write-up, regression model fitting, some of the detection techniques which are useful in detecting the problem of multicollinearity between the so-called ‘independent variables’ and also outlier detection in data are discussed. Linear regression with qualitative regressor variables is also discussed. Moreover, variable selection procedures, goodness of fit measures for model adequacy and validation are also discussed. In addition, non-linear regressions viz., logistic (both binary and multinomial) when the response variable is qualitative are also covered.

Multiple Linear Regression Modeling

Let the response variable (variable to be forecasted) be denoted by Y and the set of predictor variables, by X1 , X2 , …, Xp , where p denotes the number of predictor variables. The true relationship between Y and (X1 , X2 ,…,Xp ) can be approximated by a multiple linear regression model given by