GREENLAND: A SECERE LAND REGISTRATION SCHEME FOR BLOCKCHAIN AND AI-ENABLED AGRICULTURE INDUSTRY 5.0

Abstract

The Greenland framework introduces a secure and intelligent land registration system integrating Blockchain and Artificial Intelligence (AI) to meet the demands of Agriculture Industry 5.0. Traditional land registration systems, reliant on centralized servers, are prone to data tampering and lack transparency. Greenland addresses these issues through a decentralized Blockchainbased infrastructure that ensures tamperproof, encrypted storage of land transaction data, utilizing IPFS (InterPlanetary File System) for scalable and secure data handling. Smart contracts, developed using Solidity, are deployed on the Ethereum Blockchain to manage buyer, seller, and transaction metadata. AI algorithms are integrated to detect fraudulent land transactions by analyzing Blockchain raw data. A comprehensive machine learning pipeline is implemented, employing techniques such as data preprocessing, ANOVA feature selection, and model evaluation using metrics like Accuracy, Precision, Recall, F1- Score, and ROC curves. Among the evaluated models—Logistic Regression, SVM, Random Forest, XGBoost, and LightGBM—the LightGBM model achieved the highest accuracy of 99.35%. The system features a web interface where buyers and sellers can securely interact with the Blockchain, submit transactions, and view ML-based fraud predictions. This holistic approach not only secures the land registration process but also enhances transparency and trust through intelligent automation. The Greenland system demonstrates the viability of combining Blockchain and AI technologies to transform agricultural land management in a digital economy.