Krishnan sharma (52 résultats)

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Hardcover. Etat : New. 1st Edition. Contents: Preface. Foreword. 1. Indian seed industry: accomplishment and opportunities. 2. Strengthening of informal seed system for food security. 3. Organic seed production and crop improvement: challenges and opportunities. 4. Climate change and quality seed production: problems and mitigation approach. 5. Recent advances in seed quality enhancement. 6. Recent advances in transgenic purity testing. 7. Bio-safety regulation in transgenic crops. 8. Genetically modified crops: current status and future prospects. 9. Seed production technology of oilseed crops. 10. Hybrid production technology for quality seeds. 11. Seed production technology of pulse crops. 12. Subject index. Crop variety development and quality seed supply are the two prime elements that provide the foundation to realize higher crop productivity ensuring food security to the nation quality. During the green revolution era, Indian agriculture observed tremendous growth due to the introduction of seeds of high yielding varieties. Despite the substantial institutional framework for seed production, the availability of quality seeds continued to be a major problem for the farmers. As a result, they prefer to rely on farm-saved seeds operating on informal mode. This informal seed system needs to be strengthened as it accounts for 65-70% of all food crops cultivated, ensure dietary diversity in smallholder communities and conservation of biodiversity of locally well-adapted germplasm with greater resilience in the face of climate change and natural disasters. Due to climate change, there is an incidence of frequent substantial differences in rainfall, terminal heat stress, soil salinity, flooding etc. reducing seed yield and quality. Adaptation and mitigation strategies for the seed sector against the drastic effect of climate change includes the development of climate resilience cultivars, changing sowing dates, soil application and seed priming with different micro-nutrients and bio-regulators. Seed quality enhancement technology is vital to sustainable crop production ensuring seed and food security. The good quality seeds have a tremendous potential to increase farm productivity and income of farmers. Organic seed is the starting and most important component for completing the chain of organic seed production. Presently 95% of organic agriculture is based on crop varieties that were breed under conventional breeding approach. Some traits relevant for conventional high input farming may have a negative side effect on organic systems such as increased reliance on high inorganic-N inputs. Breeding for organic agriculture needs specific strategies that utilize genetic diversity with adaptation to low input environments without any devastating effect on crop yield and One of the critical components for achieving crop productivity is the availability of quality seeds lot with maximum genetic purity. Currently farming community is facing extraordinary hardship due to failure of crops because of the entry of spurious seeds into the market. In the present and future, more seed varieties containing transgenic traits will be marketed alongside conventional seed varieties. Because of this development, it is necessary to confirm the absence of transgenic traits in the traditional organic seed lot. To overcome this problem, modern technologies for GMO testing based on PCR based detection, microarrays technology, protein-based detection viz., ELISA, Western blotting, immunostrips has been standardized and employed worldwide. The bio-safety implications of the field release of transgenic plants have attracted global attention. The potential environmental impacts of any transgenic crops will vary depending on this crop s characteristics, the ecological system where it is being grown, its management and regulatory mechanism. This chapter focuses on the status of the transgenic crop in India and world, its associated risk on human health environment, non- target organism.…

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Paperback. Etat : New. Information and communication technology and the Internet of Things play key roles in smart city projects. It is challenging to handle the large amount of data generated by the different processes related to land use, the environment, the social and economic milieu, energy consumption, and transportation. This book emphasizes that green computing-based infrastructure initiatives benefit not only the environment but the enterprise as well.Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective covers the need for smart green computing from various engineering disciplines and offers diversified applications for such computing with cases studies. The book highlights the sustainable development of smart cities using recent technology and emphasizes advances and cutting-edge techniques throughout. Focused on the different tools, platforms, and techniques associated with smart green computing, this book presents multiple perspectives from academia, industry, and research fields.The primary audience for this book includes academics, researchers, graduate students, smart city industry practitioners, and city administrators who are engaged in smart cities and related technology.…

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Hardback. Etat : New. Large language models (LLMs) represent a profound breakthrough in artificial intelligence. More than just statistical tools, these vast neural networks undergo an intensive training process that unlocks unexpected, emergent abilities. Models like ChatGPT are now demonstrating a surprising grasp of reasoning, semantics, and real-world concepts, leading many researchers to ask: are we witnessing the first sparks of Artificial General Intelligence (AGI)? These models are doing more than just revolutionizing natural language processing; they are forcing us to reconsider the boundaries of machine intelligence. While their applications in chatbots, complex problem-solving, and content creation are already reshaping our digital world, their deeper implications point toward an entirely new era of AI. To understand these emergent capabilities and confront the AGI question, a deep dive into the core technology is essential. This co-authored book provides that crucial foundation. The authors explore the significance and capabilities of LLMs, alongside the immense ethical, social, and security challenges that arise as these models grow more powerful. For anyone seeking a comprehensive guide to navigate this new territory, The Power of Large Language Models and AI in the Digital Age: Technologies, applications, security and ethics is a valuable resource. It is essential reading for data scientists, researchers from academia and industry, lecturers, and advanced students in AI, computer science, and data science who will shape the future of intelligent systems.…

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Paperback. Etat : New. Information and communication technology and the Internet of Things play key roles in smart city projects. It is challenging to handle the large amount of data generated by the different processes related to land use, the environment, the social and economic milieu, energy consumption, and transportation. This book emphasizes that green computing-based infrastructure initiatives benefit not only the environment but the enterprise as well.Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective covers the need for smart green computing from various engineering disciplines and offers diversified applications for such computing with cases studies. The book highlights the sustainable development of smart cities using recent technology and emphasizes advances and cutting-edge techniques throughout. Focused on the different tools, platforms, and techniques associated with smart green computing, this book presents multiple perspectives from academia, industry, and research fields.The primary audience for this book includes academics, researchers, graduate students, smart city industry practitioners, and city administrators who are engaged in smart cities and related technology.…

Hardback. Etat : New. Large language models (LLMs) represent a profound breakthrough in artificial intelligence. More than just statistical tools, these vast neural networks undergo an intensive training process that unlocks unexpected, emergent abilities. Models like ChatGPT are now demonstrating a surprising grasp of reasoning, semantics, and real-world concepts, leading many researchers to ask: are we witnessing the first sparks of Artificial General Intelligence (AGI)? These models are doing more than just revolutionizing natural language processing; they are forcing us to reconsider the boundaries of machine intelligence. While their applications in chatbots, complex problem-solving, and content creation are already reshaping our digital world, their deeper implications point toward an entirely new era of AI. To understand these emergent capabilities and confront the AGI question, a deep dive into the core technology is essential. This co-authored book provides that crucial foundation. The authors explore the significance and capabilities of LLMs, alongside the immense ethical, social, and security challenges that arise as these models grow more powerful. For anyone seeking a comprehensive guide to navigate this new territory, The Power of Large Language Models and AI in the Digital Age: Technologies, applications, security and ethics is a valuable resource. It is essential reading for data scientists, researchers from academia and industry, lecturers, and advanced students in AI, computer science, and data science who will shape the future of intelligent systems.…