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Full Description
Blockchain and AI for Security and Privacy in Smart Agriculture provides an innovative outlook on how advanced technologies are redefining the future of farming. As smart agriculture increasingly integrates IoT devices, sensors, drones, and data analytics to enhance efficiency and sustainability, it also faces critical issues surrounding data privacy, security, and stakeholder trust. This book explores how blockchain and artificial intelligence (AI) effectively address these challenges. Blockchain's decentralized and tamper-proof system ensures secure data storage, transparency in agricultural processes, and end-to-end traceability within the supply chain—from producers to consumers. AI further strengthens this ecosystem by offering intelligent threat detection, predictive analytics, and real-time decision-making to enhance crop management, optimize resources, and mitigate risks. Targeted toward researchers, academics, policymakers, agri-tech entrepreneurs, and industry experts, this book combines foundational theory with real-world applications, case studies, and practical implementation models. It equips readers with the knowledge to design secure, privacy-preserving, and trustworthy smart farming systems that enhance productivity, reduce fraud, and build a sustainable agricultural future.
Contents
Preface. 1. Blockchain and Smart Contracts for Secure Agricultural Transactions. 2. The Intersection of AI, ML, and Agriculture: Innovations for the Future. 3. Blockchain-enabled Supply Chain Transparency and AI-powered Predictive Analytics for Smallholder Farmers in India's Rice Production Sector. 4. Federated Learning for Enhanced Data Privacy in Smart Agriculture. 5. A Cost-effective Data Security Approach in Agriculture x Involving Blockchains and AI. 6. Secure and Ethical AI-Driven Approaches to Data Privacy in Sustainable Agriculture. 7. A Machine Learning Framework for Dynamic Malware Analysis in IoT-based Smart Agriculture System. 8. A Comprehensive Survey on AI-driven Security Solutions for Smart Farming and Agricultural IoT Networks. 9. Policy Innovations for AI and Blockchain in Smart Agriculture: Securing the Digital Farm. 10. AI-Powered Crop Disease Prediction with Enhanced Data Privacy. 11. Artificial Intelligence in Cyber Threat and Malware Detection for IoT-enabled Smart Agriculture System: A Comprehensive Review. 12. Enhancing Security and Privacy in Smart Agriculture: Integrating Blockchain and Artificial Intelligence. 13. Advances in AI and Machine Learning for Risk Assessment in Agricultural Cybersecurity: A Systematic Review. 14. Applications of Blockchain and Cryptography for Secure Cloud Data Transmission in Agricultural IoT and Beyond. Index.
