Tokenization of Agricultural Assets: Strengthening Blockchain Security in Agri-finance and Investment Models Against Fraud and Cyber Risks

Abstract

Blockchain-based tokenization is transforming agricultural finance by enhancing efficiency, transparency, and security. This study focuses on small farmers and agribusinesses, evaluating the role of blockchain in mitigating fraud and cyber risks while improving financial accessibility. Using datasets from the World Bank Global Findex (measuring financial inclusion in agriculture), Ethereum blockchain transaction records (analyzing tokenized asset security and fraud detection), and FAO Agristats (assessing financial efficiency in agricultural markets), the study provides an empirical assessment of tokenization's impact. Methodologically, logistic regression is employed to predict fraud risk based on financial accessibility and regulatory strength, while anomaly detection using Z-scores identifies irregular blockchain transactions. Additionally, a Difference-in-Differences (DiD) regression model evaluates financial efficiency improvements, measuring the impact of tokenization on loan disbursement times, transaction costs, and transparency. The findings indicate that tokenization reduces loan disbursement times by 31.3%, lowers transaction costs by 37.3%, and increases financial transparency by 40%. Fraud occurrences were 15% lower in blockchain-enabled transactions, with a weak correlation (r = -0.064) between digital finance adoption and fraud rates, suggesting that governance weaknesses rather than digitalization alone influence fraud risks. The study recommends advanced smart contract security, decentralized identity verification, regulatory oversight, and oracle network integration to enhance blockchain security in agricultural finance. These insights underscore the importance of multi-layered cybersecurity strategies in securing tokenized agricultural investments, benefiting farmers, agribusinesses, and financial institutions while fostering a more transparent and efficient agri-finance ecosystem.