Comparative Analysis of AI-Driven IoT-Based Smart Agriculture Platforms with Blockchain-Enabled Marketplaces

The integration of Internet of Things (IoT), Artificial Intelligence (AI), and Blockchain technology has emerged as a transformative approach to modern agriculture. Traditional farming platforms and centralized agri-marketplaces face challenges such as lack of transparency, high transaction costs, and limited predictive analytics. This paper presents a comparative analysis of an AI-driven IoT-based smart agriculture platform integrated with blockchain-enabled smart contracts against existing IoT-based and centralized agricultural systems. The comparison is based on key performance metrics such as data security, transaction transparency, prediction accuracy, latency, and scalability. Experimental evaluation demonstrates that the proposed system outperforms traditional solutions by offering decentralized data management, secure peer-to-peer transactions, and AI-powered decision support, resulting in improved efficiency and farmer profitability. The study highlights how integrating blockchain and AI into IoT frameworks can enable sustainable, transparent, and intelligent agricultural ecosystems.

Smart Agriculture, IoT, Blockchain, AI-Driven Prediction, Smart Contracts, Decentralized Marketplace, Data Security

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