Plant diseases pose a significant threat to global food security, leading to substantial crop losses and economic instability. The emergence of Internet of Things (IoT) technologies offers promising avenues for early and precise plant disease detection through real-time data collection. However, traditional centralized IoT architectures are susceptible to critical vulnerabilities, including data integrity breaches, security risks, privacy concerns, and single points of failure. This article proposes an enhanced framework for IoT-based plant disease detection systems by integrating blockchain technology and Web3.0 principles. Drawing insights from secure data management in other critical sectors like healthcare [1, 4, 13, 14, 15, 16, 19, 20, 28, 30], this framework leverages blockchain's decentralized, immutable ledger for secure and verifiable data storage, and Web3.0's emphasis on data ownership and decentralized applications (dApps) for enhanced user control and transparency. The proposed integration aims to establish a robust, trustworthy, and efficient ecosystem for agricultural data, facilitating more accurate disease diagnosis, enabling secure data sharing among stakeholders, and fostering a new paradigm of decentralized, intelligent agriculture.

Decentralized IoT, plant disease detection, blockchain

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