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This book gives a detailed description about integration of blockchain technology and digital twin solutions in modern farming. This book covers the core principles, practical applications, and some real-world case studies, with offering a practical roadmap for implementing smart agriculture practices.
Sommario
1. Introduction of Blockchain in Smart Agriculture 2. Smart Agriculture and Digital Twins: A Vision of Sustainability 3. Digital Twin for the Agriculture Sector 4. AI-Enabled Blockchain for Livestock Tracking and Health Management in Smart Agriculture 5. A Blockchain-Enabled Framework to Enhance Cybersecurity Challenges in Smart Agriculture 6. Transformative Potential: IoT, Cloud, Big Data, AI-Driven Blockchain Digital Twins in Agriculture 7. Blockchain Implementation in IoT-Digital Twin-Based Crop Production 8. Digital Twin Applications in the Agriculture and Farming Domain 9. A Blockchain-Enabled Security Framework for Smart Agriculture: Harvesting Smart Agriculture Supply Chains Transformed by Blockchain Efficiency 10. A Systematic Review of Plant Leaf Disease Identification Using Image Search Engine 11. Precision Agriculture: Navigating the Future of Farming with Artificial Intelligence 12. Smarter Yields, Sustainable Practices: Predictive Modelling for Informed Decision Making in Smart Farming 13. Tech-Driven Harvest: Blockchain's Role in Sustainable Food Systems and a Waste-Free Future 15. Digital Twin for the Agriculture Sector 15. Smart Farming with Blockchain: Revolutionizing Medicinal Plant Cultivation 16. Insights into Coral Reefs of Western Indian Ocean: A Comprehensive Analysis of Habitat Classification, Forecasting Taxa Changes and AI-Driven Health Assessment 17. Farm Easy: Smart Farming Practices for Sustainable Agriculture 18. Blockchain and Digital Twin Applications in Precision Agriculture: A Comprehensive Approach 19. Effective Deep Learning-Based Agricultiral Models for Classifications of Plant Diseases 20. Enabling Blockchain in Digital Twins for Decentralized Supply Chain Traceability and Crop Growth Optimization
Info autore
Amit Kumar Tyagi is an assistant professor, Department of Fashion Technology, National Institute of Fashion Technology, New Delhi. He earned a Ph.D. from Pondicherry Central University, India. He has worked as assistant professor and senior researcher at the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India.
Shrikant Tiwari received his Ph.D. from the Department of Computer Science & Engineering at the Indian Institute of Technology (Banaras Hindu University), Varanasi, India. Currently, he is an associate professor in the School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, India. He has authored or co-authored more than 50 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Dr. Tiwari is a FIETE, a senior member of the IEEE, and member of ACM, IET, CSI, ISTE, IAENG, and SCIEI.
Riassunto
This book gives a detailed description about integration of blockchain technology and digital twin solutions in modern farming. This book covers the core principles, practical applications, and some real-world case studies, with offering a practical roadmap for implementing smart agriculture practices.
