Blockchain and Digital Twin Applications in Smart Agriculture
eBook - ePub

Blockchain and Digital Twin Applications in Smart Agriculture

  1. 384 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Blockchain and Digital Twin Applications in Smart Agriculture

About this book

Blockchain and Digital Twin Applications in Smart Agriculture presents scenarios, solutions, applications to optimize crop management, improve resource allocation, and enhance sustainability in modern farming practices. It examines how blockchain and digital twin technology could enable farmers and stakeholders to create virtual, data-driven replicas of their agricultural operations while leveraging the security and transparency of blockchain technology. Highlights of the book include:

  • An immutable blockchain ledger for storing and sharing agricultural data securely
  • Decentralized data management to share data among such stakeholders as farmers, suppliers, distributors, and consumers
  • Supply chain transparency to ensure product authenticity, reduce food fraud, and protect consumers
  • Solutions to improve the allocation of such resources as water, fertilizer, and labor to reduce costs and improve productivity.

The book helps researchers and academics develop solutions that can transition the agricultural industry into a more data-driven, sustainable, and transparent future. It explains how creating digital twins of agricultural operations and securing data through blockchain can enhance the ability to make informed decisions, reduce waste, and ensure that agriculture practices are more efficient and environmentally responsible. Featuring practical applications and case studies, the book provides a roadmap to farming that is smart, data-driven, and more.

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Yes, you can access Blockchain and Digital Twin Applications in Smart Agriculture by Shrikant Tiwari,Amit Kumar Tyagi in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. List of Contributors
  8. Chapter 1 Introduction of Blockchain in Smart Agriculture
  9. Chapter 2 Smart Agriculture and Digital Twins: A Vision of Sustainability
  10. Chapter 3 Digital Twins for the Agriculture Sector
  11. Chapter 4 AI-Enabled Blockchain for Livestock Tracking and Health Management in Smart Agriculture
  12. Chapter 5 A Blockchain-Enabled Framework to Enhance Cybersecurity Challenges in Smart Agriculture
  13. Chapter 6 Transformative Potential: IoT, Cloud, Big Data, and AI-Driven Blockchain Digital Twins in Agriculture
  14. Chapter 7 Blockchain Implementation in IoT-Digital Twin-Based Crop Production
  15. Chapter 8 Digital Twin Applications in the Agriculture and Farming Domain
  16. Chapter 9 Blockchain-Enabled Security Framework for Smart Agriculture: Harvesting Smart Agriculture Supply Chains Transformed by Blockchain Efficiency
  17. Chapter 10 A Systematic Review of Plant Leaf Disease Identification Using Image Search Engines
  18. Chapter 11 Precision Agriculture: Navigating the Future of Farming with Artificial Intelligence
  19. Chapter 12 Smarter Yields, Sustainable Practices: Predictive Modelling for Informed Decision Making in Smart Farming
  20. Chapter 13 Tech-Driven Harvest: Blockchainā€™s Role in Sustainable Food Systems and Waste-Free Future
  21. Chapter 14 Digital Twins for the Agriculture Sector
  22. Chapter 15 Smart Farming with ā€œBlockchainā€: Revolutionizing Medicinal Plant Cultivation
  23. Chapter 16 Insights into Coral Reefs of the Western Indian Ocean: A Comprehensive Analysis of Habitat Classification, Forecasting Taxa Changes, and Explainable AI-Driven Health Assessment
  24. Chapter 17 Farm Easy-Smart Farming Practices for Sustainable Agriculture
  25. Chapter 18 Blockchain and Digital Twin Applications in Precision Agriculture: A Comprehensive Approach
  26. Chapter 19 Effective Deep Learning-Based Agricultural Models for Classifications of Plant Diseases
  27. Chapter 20 Enabling Blockchain in Digital Twins for Decentralized Supply Chain Traceability and Crop Growth Optimization
  28. Index