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- Vol. 5 Issue 6
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Agri Safe: Blockchain and AI for Transparent Land Registration in Agriculture
Authors
1 Professor, Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bangalore, Karnataka, India. 2,3,4 Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bangalore, Karnataka, India.
Article Information
- Published In
- Volume 5, Issue 6 (2025)
- Published Online
- November-December 2025
- Pages
- 172-177
- Article Type
- Original Article
Abstract
View PDFThis research presents Agri Safe, an innovative framework combining distributed ledger technology with machine intelligence for agricultural property documentation. Agricultural sustainability depends heavily on clear property rights, yet existing documentation mechanisms suffer from vulnerabilities enabling unauthorized modifications. Our solution leverages immutable distributed ledgers to ensure record permanence while employing classification algorithms including support vector machines, logistic regression, and random forests for pre-validation fraud detection. This dual-layer approach prevents illegitimate entries from consuming computational resources. Validation rules embedded within automated contracts ensure operational efficiency and data integrity. The Inter Planetary File System handles supplementary documentation, with cryptographic hashes anchored on-chain for verification. Comprehensive evaluation demonstrates system reliability through AI model performance assessment and smart contract security analysis. Agri Safe establishes trust by eliminating unauthorized modifications and minimizing property conflicts.
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