Blockchain and AI for Security and Privacy in Smart Agriculture

This book provides an insight into how blockchain ensures data transparency, traceability, and trust, while artificial intelligence enhances decision-making, automation, and predictive analytics. It emphasizes securing agricultural data, protecting farmers' privacy, and building resilient smart agriculture ecosystems.

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. Key features:Focuses on the latest development in Blockchain and AI Analytics in Smart Agriculture. Presents different issues of Security and Privacy in Smart Agriculture. Offers the latest Blockchain and AI models for security analytics in Smart Agriculture. Discusses the emerging role of Blockchain and AI Enabled Analytics and Technologies in detection of threats in Smart Agriculture. Presents the prospects on Blockchain and AI based Smart Agriculture Data Analytics and decision-making model.