Abstract: Land registration is a critical aspect of agriculture and sustainable development, yet traditional systems often suffer from fraud, inefficiency, and lack of transparency. To address these challenges, this study presents GreenLand: A Secure Land Registration Scheme for Blockchain and AI-Enabled Agriculture Industry 5.0 (AgriSafe). This system integrates blockchain technology and artificial intelligence (AI) to create a secure, tamper- proof, and fraud-resistant land registry. Blockchain ensures immutability and transparency of land records, while AI models—such as Extreme Gradient Boosting (XGB) and Light Gradient Boosting Machine (LGBM)— enhance fraud detection by analyzing transactional patterns and ownership claims. Additionally, smart contracts automate verification processes, ensuring regulatory compliance and reducing human intervention. The system employs the InterPlanetary File System (IPFS) for decentralized and secure storage, further enhancing data integrity. By leveraging AI-driven fraud detection and blockchain’s decentralized security, AgriSafe significantly improves land transaction efficiency, trust, and scalability in the agricultural sector
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Keywords: Land Registration, Blockchain Security, AI- Powered Fraud Detection, Smart Contracts, Decentralized Identity Management, Secure Land Transactions, IPFS, Agricultural Technology.
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DOI:
10.17148/IJARCCE.2025.14457
