eChapters

Abstract
 
Mention about the Great Himalayan river of Vedic Period (10000-8000 BC) is found in ancient Indian literature. The river called as ‘Saraswati’ in India and ‘Hakra’ in Pakistan, was flowing with full majesty through Thar Desert around 6000 BC and dried up during 3000 BC due to climatic and tectonic changes in Himalayan region. The relict of this lost river is still found as palaeochannels in this region. Large numbers of archaeological sites of Harappan civilization occur along the dry river bed. 

ABSTRACT

This paper takes cues from the previous paper on the evolution of IPR concepts and attempts explaining the nuggets of TRIPS and analyzes the current trends in its implementation.

Introduction

As the TRIPS Agreement signifies stronger protection of conventional and new areas of intellectual property, the question that how implementation of TRIPS could influence developed and developing countries is to be addressed. The implications of such influence have far reaching consequences in terms of socio-economic development of Nation States, including geopolitical strategies and hence, a proper understanding on the plausible influence is essential.

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.

Introduction

Agriculture contributes to 29.93% of India's GDP with a share of 27% of the world's agriculture production. India is ranked 6th in the world. In Rajasthan significant portion of economy of is agrarian. The agriculture sector of the state accounts for 22.5% share of agriculture in GSDP which is estimated to 18.39% in 2009-10. About 80% of the total population resides in rural area and largely dependent on agriculture as the source of their livelihood. The hot arid region of western Rajasthan occupies 61% of the total geographical area and 39.51% population of the state. During the last four decades the burgeoning human and livestock population and increased societal demands for land based products led to  significant expansion and intensification of agriculture by putting even marginal lands under plough, excessive exploitation  of ground water and importing of surface water for irrigation.

Abstract

Population of Rajasthan as per Census 2011 is 68,621,012 persons which is much higher than census 2001 that records 56,507,188. It includes 12 districts of Rajasthan. Western Rajasthan covers about 61% area of the total geographical area and 39.51% population of the total population of the Rajasthan. The growth rate of population is much higher than that of the Rajasthan State. In the census 1981 Western Rajasthan had registered a phenomenal increase of 35.48 per cent over 1971 population. Regional pattern of growth rate in western Rajasthan shows that extreme hot arid region district (Barmer) is on top having 32.55 per cent growth rate whereas Indira Gandhi Canal Region (Ganganagar) district has least population growth of 10.06 per cent only. In 1981, the average urban growth rate had been 54.52 per cent. In 2001, the rural density of population was 83 persons per sq. km.

Modern plant genomics generates highly complex and high-dimensional datasets that require advanced computational approaches for effective analysis. This chapter explores the application of artificial intelligence to plant genomic data analysis. Machine learning and deep learning techniques are discussed for identifying complex patterns, classifying genomic information, predicting phenotypes and supporting genomic selection. Convolutional neural networks, long short-term memory networks and transformer models are considered for analyzing genomic sequences and relationships. The chapter presents an AI-based framework integrating data processing, model development and prediction while highlighting the challenges associated with genomic data heterogeneity and dimensionality. It emphasizes the potential of AI for improving genomic research and plant improvement strategies

I. INTRODUCTORY OUTLINE

The post-Vienna legal phase is remarkably known for revolutionary changes across the global wherein the third generation of human rights became the hallmark for the comity of nations and a liberational instrument to come out of nightmarish experiences of poverty and hunger.1 On the other hand the post-GATTised legal ordering is known for much publicized and debatable conclusion of Trade Related Aspect of Intellectual Property Rights (TRIPs) and creation of World Trade Organisation (WTO).2 This new jurisprudential polemics soon evoked fierce scrutiny from the stand point of human right and poverty among third world countries.3 At home, it is dubbed as ‘bleeding operation with the dubious promise of benign global competition’, ‘de facto nullity of constitutional goal of social welfare’ and ‘contra- constitutional coup.4 Since India has become a member of WTO it indulged into massive rehabilitation and fundamental mutation of IPR regime. Despite the fact that it has a stark distinction of being a grain- surplus and food and livelihood insecure country. An inventory of over forty five million tonnes of wheat and rice in granaries remains ready for consumption. On the other hand over two hundred fifty million people generally go to bed partially hungry every day. There is a near consensus on the need to banish hunger but the realities on the ground remain that even at the risk of raising hopes the goal of food security may not be realized for generations.5 At home under the cover of food security the government is keeping millions of tonnes of food out of reach of the poor people.6 In fact India’s record breaking 200 plus million tonnes harvest is the result of steep fall in purchasing power of poor. The myth of surplus is based on sending hundreds of millions of human being hungry to their beds.7 Taken to its logical end we have abundance of food, surplus of hunger and scarcity of vision under the garb of food security.8

I. INTRODUCTION

In a global, knowledge-based economy, Intellectual Property Rights (IPRs) are a key to the international competitiveness of both nations and firms. International competition in the traded goods increasingly contains a high degree of innovation. IPRs have thus; become a trade issue and a major component of the World Trade Organisation (WTO). Adequate IP protection at an international scale has become essential for appropriating global revenue streams to support investments in developing state of- the- art technology. Although the concept of intellectual property is very old, there appeared the need to harmonize laws to facilitate international trade and free flow of technology. This became very necessary because it was difficult to obtain sufficient protection in the other countries of the world, in view of the disparity in the laws in each country. As per World Intellectual Property Organisation (WIPO) definition, intellectual property refers to creations of the mind, inventions, literary and artistic works, symbols, names, images and designs used in commerce. Broadly, intellectual property is divided into two categories. The first category covers industrial property, which includes patents, industrial designs and trademarks, all of which have industrial applications. The other refers to copyright laws, which are applied to such things as literary, dramatic and artistic works; rights relating to performing artists, the production phonograms and rights of broadcasters in their radio and television programs.¹ Patented inventions have, in fact, pervaded every aspect of human life, from electric lighting and plastic, to ballpoint pens and microprocessors. During a time when the future of many industries seems uncertain, one industry in particular appears to be positioned for expansion and enduring success. This is the biotechnology industry, which according to some analysts will be a major driving force behind the new economy of the 21st century.2 This seemingly lofty prediction is based in large part on the immense promise offered by biotechnology. The innovations developed with biotechnological techniques promise to prolong and improve our lives and the world we live in by achieving advancements in health care, agriculture, food products and production, industrial processes and environmental preservation. Biotechnology is not a new science and it has existed in some form or the other for centuries. Biotechnology in one form or another has been part of human development since the dawn of agriculture. Human ingenuity has led to increased production and greater diversity and quality of livestock and varieties of crops. Today’s food crops and domestic animals embody the benefits of many generations of selection and breeding. However, the advent of genetics has opened exciting opportunities in this sector, because of its numerous applications, which range from improvement of human health and food production to reduction of environmental damage. These opportunities are also coupled with controversies that not only challenge the laws within which society functions, but also our ethical and religious beliefs.

I. INTRODUCTION

Information technology has heralded a new era of Communication System. It has revolutionized the whole commercial world. The mother earth looks like a global village where people sitting thousands of miles away can talk face to face, like people sitting across the table. Business men and consumers are using computer to create, transmit and store information in the electronic form. Traditional form of paper documents are being discarded for the reason that electronic method is Cheaper, easier to store, retrieve and communicate. Though these advantages are obvious but people were reluctant to transact business in electronic form due to lack of legal frame work, validating these transactions. All the paper transactions involved writing and signature to conclude them. These writings and signatures posed a great hurdle for electronic governance and electronic commerce for validating and enforcing them. The law of Evidence is based on paper made documents which should have been signature. Since electronic commerce eliminates the need for paper based transactions, hence to facilitate e-commerce the need for legal change has become an urgent necessity. International trade, though the medium of e-commerce, is growing by leaps and bounds for the past few years. Many countries have switched over from traditional paper based commerce to e-commerce. The instantaneous means of communications through internet have been a great menace to copy right in different areas David Teather from London has reported that the International Federation of the Phonographic Industry say that the market in year 2000 was worth $36.9 billion, a fall of 1.3 per cent on the previous year. The biggest decline in the sale of C.D. singles was 39% and globally it fell by 14%. The growth in popularity of Napster and to contain the damage. Napster is in the process of removing copyrighted material from its site.¹ But the powers of the computer are so great that the law enforcement agencies are facing a real challenge to contain its onslaught. Internet telephony is a common sight at cyber cafe, despite the fact that it is illegal.2 B.B. Nanda and R.K.Tewari observe that “ internet paedophilia, computer network break-ins, industrial espionage, Child pornography password sniffling, spoofling, telecommunications fraud, software piracy, e- mail bombing and spamming, and the availability of illicit or unlicensed products and services are offences already making themselves felt. Emerging problems include credit card fraud, cyber terrorism, cyber laundering and criminal use of secure internet communications. The huge growth of internet will breed cyber fraud with great ease especially in the area of share-holdings of companies.3 The present weak electronic system of payment without adequate safeguard is posing a serious risk for unauthorised withdrawals from banks and counter money laundering operations. Software piracy is a boom business and video and phonographic industries are sinking day by day globally.4 The UNCITRAL Model law provides for equal legal treatment of users of electronic communication and paper based communication. In pursuance of a declaration made ‘by Member Countries, the World Trade Organisation (WTO) is about to form a work programme to handle its work in this area including the formation of multilateral trade deals through the medium of electronic commerce. The paper discusses, briefly, the meaning of cyber space the origin and development of intemet and e commerce its uses and abuses. Certain provisions relating to Information Technology Act, 2000 have been briefly discussed to apprise oneself about its effectiveness in meeting the challenges posed by e commerce in different areas.

Factorial experiments provide an efficient method for studying two or more factors simultaneously at different levels. This chapter introduces the concept and notation of factorial arrangements and explains treatment combinations in experiments such as 2 × 2 and higher-order factorials. It distinguishes among simple effects, main effects, and interaction effects, emphasizing the importance of interactions in interpreting biological responses. Factorial experiments allow researchers to examine the effects of individual factors as well as their combined influence. The chapter also explains that factorial treatments may be arranged using different basic experimental designs, such as Completely Randomized, Randomized Block, or Latin Square designs, according to experimental objectives and conditions.

Artificial Intelligence (AI) is technology which can store, retrieve, manipulate, manufacture, transmit or receive, analyze any digital information and can apply machine vision for increasing efficiency and workability of the system. The AI permits systematically scope of ‘3S’ i.e. Safety, Security and Surveillance, which is also known as manmade intelligence. In fact, it needs more reliable and accurate data or information for processing and correction for predicting performance of any system and devices.

The term robot is czech word, first time used by play write Karel Capek, in year 1920, applicable to the forced labour or serfs or slaves. The first commercial, digital and programmable robot, named ‘Unimate’ was built by George Devol in 1954.

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.

The process through which heat energy is transferred from a body at higher temperature to a body at lower temperature without any material medium between the two bodies is x called radiation. The outer surface of the the Sun is at higher temperature compared to the surface of the earth. Solar radiation is the electromagnetic energy emitted by the Sun. It is the primary source of energy for the Earth’s climate system, driving atmospheric and oceanic circulation, influencing weather patterns, and sustaining life through photosynthesis.2 This energy travels through space as electromagnetic waves, encompassing a broad spectrum of wavelengths, from high-energy gamma rays and X-rays to ultraviolet, visible, infrared, and radio waves. The portion of this spectrum that reaches the Earth’s surface is crucial for a multitude of processes, making thestudy of solar radiation fundamental to understanding our planet’s environment.  This introduction will lay the groundwork for exploring the characteristics, distribution, and interaction of solar radiation with the Earth’s atmosphere and surface.
5.1. Wave length of Radiation
The wavelength of radiation refers to the distance between two consecutive peaks or troughs of a wave. It’s a measure of the length of one complete cycle of the wave

Agriculture 4.0, otherwise called “Digital Agricultural Revolution”, addresses a change in outlook in agriculture, utilizing state of the art innovations to improve different parts of cultivating tasks. These innovations include the Internet of Things (IoT), Artificial brainpower (Artificial intelligence), Huge Information, distributed computing, Cloud computing, Decision Support System (DSS), high level detecting innovation, and independent robots. Sensors and mechanical technology assume a urgent part in gathering fundamental field information, which is then sent to a neighborhood or cloud server by means of IoT innovation for capacity, handling, and examination. Large information and Artificial intelligence-based strategies can be utilized to change over this information into significant experiences. To work with client connection and informed independent direction, a DSS outfits clients with the fundamental devices to improve the agricultural framework and embrace proper activities.
AI (ML), a subset of Artificial intelligence, has shown extraordinary potential in upgrading different parts of agriculture 4.0. It very well may be characterized as a PC program or framework that can learn explicit errands without being expressly modified to do so. An interaction includes the utilization of a PC to go with choices in light of various information inputs. For this situation, information means a bunch of models. Marked information is frequently utilized for managed learning undertakings (where the model gains from named models), and unlabeled information may be utilized for solo learning assignments (where the model tracks down examples and designs in the information).
ML for sure advantage from a lot of information to accomplish significant exactness in their errands. With regards to farming, acquiring immense and various information can be at times testing yet crucial for the outcome of ML models. IoT sensors are instrumental in gathering a different scope of farming information as they can be decisively sent across fields to catch pertinent data with respect to, for example, soil conditions, Climate factors, crop wellbeing, and animals’ measurements. The inescapable reception of IoT innovation works with constant and continuous information procurement, empowering

Green nanocomposites offer promising possibilities for biomedical applications because biodegradable matrices can be combined with nanoscale fillers to obtain specific functional properties. This chapter explores their applications in tissue engineering and drug delivery, with attention to materials such as chitosan, alginate, cellulose, and polylactic acid. It discusses the fundamentals of green nanocomposites, tissue-engineering applications, controlled drug delivery, toxicity, biocompatibility, regulatory considerations, and current limitations. Nanocomposite systems can provide useful mechanical, thermal, antimicrobial, antioxidant, and therapeutic characteristics while supporting more sustainable material development. The chapter highlights the importance of balancing biomedical functionality, safety, environmental responsibility, processing requirements, and long-term biological compatibility.

Plant physiological processes determine growth, development, productivity and adaptation to changing environmental conditions. This chapter examines how artificial intelligence can improve understanding of plant physiology and stress responses. It considers physiological processes including photosynthesis, transpiration, nutrient dynamics and hormonal regulation and explores how AI can analyze complex biological, environmental and phenotypic datasets. Machine learning, deep learning, computer vision and predictive analytics support interpretation of information obtained through sensors, imaging, remote sensing and omics technologies. The chapter emphasizes early detection and prediction of stresses such as drought, salinity, temperature extremes, nutrient imbalance and pathogen pressure. It also discusses explainable AI, digital twins and federated learning as emerging approaches for plant stress research.

Introduction

Geostatistics is a branch of statistics that deals with the analysis and modelling of geo-referenced data. Its main aims are to quantify spatial variability and to create maps from point observations. Of course there is much more to geostatistics than just that and indeed some of the other uses of geostatistics are addressed in this chapter too, but the emphasis is on the assessment of spatial variability and geostatistical interpolation.

The first step of geostatistical interpolation is to quantify the spatial correlation structure of the variable of interest. This can be done by examining the observations and how these vary in space. Next spatial interpolation makes use of the quantified spatial correlation to derive optimal predictions at unobserved locations and create a map. The interpolation error is quantified as well, which helps to design optimal spatial sampling schemes that balance data collection costs and map accuracy. All this will be explained in this chapter, but in order to do so we first need to explain the statistical theory that underlies geostatistical interpolation followed by representation of the spatial correlation structure, the basics of geostatistical interpolation (‘kriging’), kriging extensions and spatial stochastic simulation.

Basics of Technology Incubation
Technology incubation is a fascinating process that fosters the growth of innovative startups and businesses with high-potential technology. It provides a supportive environment and resources for early-stage companies to develop their ideas, validate their business models, and navigate the challenges of commercialization.
Here’s a breakdown of the key aspects of technology incubation: What happens in a technology incubation?
Pre-incubation: Startups with promising ideas can receive initial guidance and support to refine their concepts and develop a business plan.
Incubation: Selected startups gain access to shared office space, mentorship from experienced professionals, networking opportunities, and access to funding sources.
Post-incubation: Graduated startups continue to receive support in areas like marketing, legal advice, and investor relations as they scale their businesses.
Benefits of Technology Incubation
Reduced risks: Startups can test their ideas and validate their market potential before investing significant resources.
Access to resources: Incubators provide vital resources like office space, equipment, and software, reducing the financial burden on startups.

Artificial intelligence offers practical solutions to agricultural problems associated with population growth, food demand, climate change and limited natural resources. This chapter introduces machine learning, deep learning, computer vision and natural language processing, together with enabling technologies such as IoT, remote sensing and cloud computing. It explains their applications in crop monitoring, disease recognition, yield forecasting, irrigation, soil assessment and livestock management. AI can improve decision-making, resource efficiency, automation and precision farming while reducing reliance on manual labour. The chapter also examines adoption barriers, including high costs, limited digital literacy, data-security concerns and weak rural infrastructure, and considers future developments in autonomous and climate-resilient farming.