{"product_id":"emerging-smart-agricultural-practices-using-artificial-intelligence-isbn-9781394274246","title":"Emerging Smart Agricultural Practices Using Artificial Intelligence","description":"\u003cp\u003e\u003cb\u003eBring the latest technology to bear in the fight for sustainable agriculture with this timely volume\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eArtificial intelligence (AI) has the potential to revolutionize virtually every area of research and scientific practice, including agriculture. With AI solutions emerging to drive higher yields, produce increased resource efficiency, and foster sustainability, there is an urgent need for a volume outlining this progress and charting its future course. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eEmerging Smart Agricultural Practices Using Artificial Intelligence\u003c\/i\u003e meets this need with a deep dive into the rapidly developing intersection of agriculture and artificial intelligence. Taking an interdisciplinary approach which applies data science, computer science, and engineering techniques, the book provides cutting-edge insights on the latest advancements in AI-driven agricultural practices. The result is an absolutely critical tool in the ongoing fight to develop sustainable world agriculture. \u003c\/p\u003e\u003cp\u003eIn addition, this book provides: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCase studies and real-world applications of new techniques throughout\u003c\/li\u003e\n\u003cli\u003eDetailed discussion of agricultural applications for AI-driven technologies such as machine learning, computer vision, and data analytics \u003c\/li\u003e\n\u003cli\u003eA regional approach showcasing international best practices and addressing the varying needs of farmers worldwide\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eEmerging Smart Agricultural Practices Using Artificial Intelligence\u003c\/i\u003e is ideal for agricultural professionals and scientists, as well as data scientists, technologists, and agricultural policymakers. \u003c\/p\u003e\u003cp\u003eAbout the Editors xvii\u003c\/p\u003e \u003cp\u003eList of Contributors xix\u003c\/p\u003e \u003cp\u003ePreface xxiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Agricultural Resilience: Water Quality and Human Well-Being 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eTanu Taneja, B.S Bhatia, and Shalom Akhai\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 The Nexus of Water Quality and Agriculture 2\u003c\/p\u003e \u003cp\u003e1.3 Impact of Contaminated Water on Crop Health 2\u003c\/p\u003e \u003cp\u003e1.4 AI-Driven Water Monitoring Systems 4\u003c\/p\u003e \u003cp\u003e1.5 Research Gaps and Research Dimensions 6\u003c\/p\u003e \u003cp\u003e1.6 Precision Irrigation Techniques 7\u003c\/p\u003e \u003cp\u003e1.7 Waterborne Pathogens in Farming 8\u003c\/p\u003e \u003cp\u003e1.8 Livestock Health and Water Safety 8\u003c\/p\u003e \u003cp\u003e1.9 Sustainable Water Management Strategies 9\u003c\/p\u003e \u003cp\u003e1.10 Human Health Implications 11\u003c\/p\u003e \u003cp\u003e1.11 Significance of Research in Agricultural Water Quality 12\u003c\/p\u003e \u003cp\u003e1.12 Conclusion 12\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Precision Farming: A Technological Revolution for Sustainable Agriculture 25\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAshish Kumar, Prasoon Kumar Pandey, and Divya Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 25\u003c\/p\u003e \u003cp\u003e2.2 Principles of Precision Farming 27\u003c\/p\u003e \u003cp\u003e2.3 Technologies in Precision Farming 28\u003c\/p\u003e \u003cp\u003e2.4 Role of Drones in Precision Farming 35\u003c\/p\u003e \u003cp\u003e2.5 Benefits of Precision Farming 37\u003c\/p\u003e \u003cp\u003e2.6 Conclusion 40\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Precision Farming and Smart Crop Management 45\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eBhavin Patel, Jitendra Bhatia, and Malaram Kumhar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 45\u003c\/p\u003e \u003cp\u003e3.2 Related Work 46\u003c\/p\u003e \u003cp\u003e3.3 Technologies in Precision Farming 47\u003c\/p\u003e \u003cp\u003e3.4 Smart Crop Management Techniques 58\u003c\/p\u003e \u003cp\u003e3.5 Mapping to Site-Specific Applications 59\u003c\/p\u003e \u003cp\u003e3.6 Challenges and Limitations 62\u003c\/p\u003e \u003cp\u003e3.7 Conclusion 66\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Empowering Smart Agriculture with Artificial Intelligence 71\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eShipra Raheja and Himanshi Bansal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 71\u003c\/p\u003e \u003cp\u003e4.2 Benefits of AI in Agriculture 72\u003c\/p\u003e \u003cp\u003e4.3 Applications of Artificial Intelligence in Agriculture 74\u003c\/p\u003e \u003cp\u003e4.4 Part of AI Within the Farming Data Administration Cycle 76\u003c\/p\u003e \u003cp\u003e4.5 Optimizing AI for Farming and Agrarian Forms 78\u003c\/p\u003e \u003cp\u003e4.6 AI's Limitations with Regard to Agriculture 79\u003c\/p\u003e \u003cp\u003e4.7 Future of AI in Agriculture 81\u003c\/p\u003e \u003cp\u003e4.8 The Future Research of AI in Small-Scale Farming 82\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Foundations of Agricultural AI 87\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDivya Singh, Naman Agrawal, Jaya Saini, and Manoranjan Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 87\u003c\/p\u003e \u003cp\u003e5.2 Machine Learning 91\u003c\/p\u003e \u003cp\u003e5.3 Deep Learning 91\u003c\/p\u003e \u003cp\u003e5.4 Applications of AI in Agriculture 92\u003c\/p\u003e \u003cp\u003e5.5 Challenges and Opportunities 94\u003c\/p\u003e \u003cp\u003e5.6 Ethical and Social Implications 96\u003c\/p\u003e \u003cp\u003e5.7 Current Trends and Future Directions 98\u003c\/p\u003e \u003cp\u003e5.8 Conclusion 100\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 AI in Agriculture: A Comprehensive Exploration of Technological Transformation 105\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eManya Gupta, Gargi Mishra, Supriya Bajpai, Abhinav Bhardwaj, and Milind Gautam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 105\u003c\/p\u003e \u003cp\u003e6.2 AI Integration in Agricultural Practices 108\u003c\/p\u003e \u003cp\u003e6.3 AI-Monitored Agricultural Parameters 110\u003c\/p\u003e \u003cp\u003e6.4 Application Areas of AI in Agriculture 112\u003c\/p\u003e \u003cp\u003e6.5 Limitations 120\u003c\/p\u003e \u003cp\u003e6.6 Conclusion and Future Scope 124\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Integrating AI and Climate-Smart Agricultural Mechanization: Strategies for Enhancing Productivity and Sustainability in a Changing Climate 133\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAnil Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 133\u003c\/p\u003e \u003cp\u003e7.2 Literature Review 138\u003c\/p\u003e \u003cp\u003e7.3 Methodology 140\u003c\/p\u003e \u003cp\u003e7.4 Analysis 142\u003c\/p\u003e \u003cp\u003e7.5 Future Mechanization Pathways Through Climate-Smart Technologies 153\u003c\/p\u003e \u003cp\u003e7.6 Discussion 157\u003c\/p\u003e \u003cp\u003e7.7 Conclusion 158\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Harvesting Tomorrow: Exploring Real-World Applications of AI in Agriculture 163\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePriya and Neha Gupta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 163\u003c\/p\u003e \u003cp\u003e8.2 Precision Agriculture: Transforming Farming Practices 165\u003c\/p\u003e \u003cp\u003e8.3 Crop Monitoring and Management Techniques 171\u003c\/p\u003e \u003cp\u003e8.4 Revolutionizing Livestock Management Through AI 174\u003c\/p\u003e \u003cp\u003e8.5 Innovations in Food Supply Chains with AI 179\u003c\/p\u003e \u003cp\u003e8.6 Addressing Ethical and Regulatory Considerations 182\u003c\/p\u003e \u003cp\u003e8.7 Conclusion 184\u003c\/p\u003e \u003cp\u003e8.8 Future Directions 185\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Smart Agriculture: Predictive Modeling of Fertilizer Requirements Using Neural Networks 189\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHeet Dave and Jai Prakash Verma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 189\u003c\/p\u003e \u003cp\u003e9.2 Related Work 190\u003c\/p\u003e \u003cp\u003e9.3 Proposed Research Work 194\u003c\/p\u003e \u003cp\u003e9.4 Methodology and Concepts 195\u003c\/p\u003e \u003cp\u003e9.5 Implementation and Execution flow 197\u003c\/p\u003e \u003cp\u003e9.6 Results 204\u003c\/p\u003e \u003cp\u003e9.7 Discussion 206\u003c\/p\u003e \u003cp\u003e9.8 Conclusion 206\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Reviewing Advances in Image-Based Plant Disease Detection 209\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eGautmi Tomar, Yuvraj Ahuja, Yogita Arora, and Neera Agarwal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 209\u003c\/p\u003e \u003cp\u003e10.2 Literature Review 212\u003c\/p\u003e \u003cp\u003e10.3 Imaging Techniques of Plant Disease 214\u003c\/p\u003e \u003cp\u003e10.4 Critical Discussion 223\u003c\/p\u003e \u003cp\u003e10.5 Conclusion 225\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Leveraging ResNeXt50 and LSTM for Enhanced Plant Disease Detection: A Hybrid Model Proposal 231\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJaspreet Singh and Shashi Tanwar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 231\u003c\/p\u003e \u003cp\u003e11.2 Literature Review 234\u003c\/p\u003e \u003cp\u003e11.3 Research Methodology 236\u003c\/p\u003e \u003cp\u003e11.4 A Proposed Hybrid Model Using ResNext50 \u0026amp; LSTM for Plant Disease Detection 240\u003c\/p\u003e \u003cp\u003e11.5 Results and Implementation 241\u003c\/p\u003e \u003cp\u003e11.6 Conclusion and Future Work 243\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 FarmTechAI: Artificial-Intelligence-Based Modern Farmer Management System 247\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMurat Can Cardak, Muhammed Golec, and Sukhpal Singh Gill\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 247\u003c\/p\u003e \u003cp\u003e12.2 Related Works 248\u003c\/p\u003e \u003cp\u003e12.3 FarmTechAI: Proposed System 251\u003c\/p\u003e \u003cp\u003e12.4 Performance Evaluation and Testing 271\u003c\/p\u003e \u003cp\u003e12.5 Legal, Social, Ethical, and Sustainability Issues 277\u003c\/p\u003e \u003cp\u003e12.6 Conclusions and Future Work 278\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Livestock Monitoring and Welfare 283\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eV. Kanakaris, E. Vrochidou, and G. A. Papakostas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 283\u003c\/p\u003e \u003cp\u003e13.2 Benefits of Livestock Monitoring 287\u003c\/p\u003e \u003cp\u003e13.3 Innovative Livestock Monitoring Technology Methods 288\u003c\/p\u003e \u003cp\u003e13.4 Impact of Livestock Monitoring Methods on Welfare 298\u003c\/p\u003e \u003cp\u003e13.5 Discussion 300\u003c\/p\u003e \u003cp\u003e13.6 Conclusions 302\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Smart Crop Management: Harnessing Green IoT Tomorrow 315\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eShipra Raheja, Vimal Gaur, and Rachna Jain\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 315\u003c\/p\u003e \u003cp\u003e14.2 Greening Agriculture: Advancing with IoT Technology 316\u003c\/p\u003e \u003cp\u003e14.3 Green IoT Key Components 318\u003c\/p\u003e \u003cp\u003e14.4 Future of AI in Agriculture 324\u003c\/p\u003e \u003cp\u003e14.5 Conclusion and Future Aspects 324\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Current Progress of Sustainable Smart Agriculture Using Internet of Things 329\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSavita Kumari Sheoran, Suraj Ranga, and Ghanapriya Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 329\u003c\/p\u003e \u003cp\u003e15.2 Literature Review 331\u003c\/p\u003e \u003cp\u003e15.3 Methodology 339\u003c\/p\u003e \u003cp\u003e15.4 Current Status of SDGs (Global and Local) in Ranking 343\u003c\/p\u003e \u003cp\u003e15.5 Analysis 344\u003c\/p\u003e \u003cp\u003e15.6 Conclusions 346\u003c\/p\u003e \u003cp\u003eFunding 346\u003c\/p\u003e \u003cp\u003eReferences 346\u003c\/p\u003e \u003cp\u003eIndex 353\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eAshish Kumar, PhD,\u003c\/b\u003e is an Associate Professor with Bennett University, Greater Noida, U.P. India. He has published widely on subjects including object tracking, image processing, artificial intelligence, and medical imaging analysis, and is a member of the IEEE. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eJai Prakash Verma, PhD,\u003c\/b\u003e is an Associate Professor in the Department of Computer Science and Engineering, Nirma University, Ahmedabad, India. He offers customized training on big data analytics to the Indian Navy, SAC-ISRO scientists in Ahmedabad, and other experts from industry and academia. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eRachna Jain, PhD,\u003c\/b\u003e is an Associate Professor in the Department of Information Technology Bhagwan Parshuram Institute of Technology. She has 18+ years of academic\/research experience with more than 100+ publications in various international conferences and international journals (Scopus\/ISI\/SCI) of high repute.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eBring the latest technology to bear in the fight for sustainable agriculture with this timely volume\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eArtificial intelligence (AI) has the potential to revolutionize virtually every area of research and scientific practice, including agriculture. With AI solutions emerging to drive higher yields, produce increased resource efficiency, and foster sustainability, there is an urgent need for a volume outlining this progress and charting its future course. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eEmerging Smart Agricultural Practices Using Artificial Intelligence\u003c\/i\u003e meets this need with a deep dive into the rapidly developing intersection of agriculture and artificial intelligence. Taking an interdisciplinary approach which applies data science, computer science, and engineering techniques, the book provides cutting-edge insights on the latest advancements in AI-driven agricultural practices. The result is an absolutely critical tool in the ongoing fight to develop sustainable world agriculture. \u003c\/p\u003e\u003cp\u003eIn addition, this book provides: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCase studies and real-world applications of new techniques throughout\u003c\/li\u003e\n\u003cli\u003eDetailed discussion of agricultural applications for AI-driven technologies such as machine learning, computer vision, and data analytics \u003c\/li\u003e\n\u003cli\u003eA regional approach showcasing international best practices and addressing the varying needs of farmers worldwide\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eEmerging Smart Agricultural Practices Using Artificial Intelligence\u003c\/i\u003e is ideal for agricultural professionals and scientists, as well as data scientists, technologists, and agricultural policymakers.\u003c\/p\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Default Title","offer_id":47989123088613,"sku":"NP9781394274246","price":165.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781394274246.jpg?v=1761782887","url":"https:\/\/k12savings.com\/es\/products\/emerging-smart-agricultural-practices-using-artificial-intelligence-isbn-9781394274246","provider":"K12savings","version":"1.0","type":"link"}