Enhancing Traceability and Trust with Blockchain Application in Agriculture
DOI:
https://doi.org/10.5281/zenodo.15714088Keywords:
Blockchain technology, Food supply chain, Agricultural insurance, Smart agriculture, Smart contractAbstract
All members record and write transactions and accounts in a ledger known as the blockchain. It can be a trusted source of information regarding the health of farms, stock, and contracts in agriculture, where such information is normally very expensive to obtain. Through tracking the source of food, blockchain technology enables the development of secure food supply chains and enhanced consumer and producer trust. It enables easier deployment of data-based innovations to render agriculture intelligent by providing a safe means of storing data. Additionally, the use of smart contracts it enables timely payment between parties, which may be initiated by a change in data that is reflected in the blockchain. This paper presents theoretical and practical uses of blockchain technology in smart agriculture, food supply chains, agricultural insurance, and the selling of agricultural products. We also present limitations in recording transactions of smallholder farmers and building infrastructure needed to deploy blockchain technology to the agricultural and food sectors.
References
Boysen, N., De Koster, R., & Weidinger, F. (2019). Warehousing in the e-commerce era: A survey. European Journal of Operational Research, 277(2), 396-411. https://doi.org/10.1016/j.ejor.2018.08.023
Chod, J., Trichakis, N., Tsoukalas, G., Aspegren, H., & Weber, M. (2020). On the financing benefits of supply chain transparency and blockchain adoption. Management science, 66(10), 4378-4396. https://doi.org/10.1287/mnsc.2019.3434
Dalhaus, T., Musshoff, O., & Finger, R. (2018). Phenology information contributes to reduce temporal basis risk in agricultural weather index insurance. Scientific reports, 8(1), 46. https://doi.org/10.1038/s41598-017-18656-5
Finger, R., Dalhaus, T., Allendorf, J., & Hirsch, S. (2018). Determinants of downside risk exposure of dairy farms. European Review of Agricultural Economics, 45(4), 641-674. https://doi.org/10.1093/erae/jby012
Ge, L., Brewster, C., Spek, J., Smeenk, A., Top, J., Van Diepen, F., ... & de Wildt, M. D. R. (2017). Blockchain for agriculture and food: Findings from the pilot study (No. 2017-112). Wageningen Economic Research.
Kaske, D., Mvena, Z. S. K., & Sife, A. S. (2018). Mobile phone usage for accessing agricultural information in Southern Ethiopia. Journal of agricultural & food information, 19(3), 284-298. https://doi.org/10.1080/10496505.2017.1371023
Lin, J., Shen, Z., Zhang, A., & Chai, Y. (2018). Blockchain and IoT based food traceability for smart agriculture. In Proceedings of the 3rd international conference on crowd science and engineering (pp. 1-6). https://doi.org/10.1145/3265689.3265692
Lin, Y. P., Petway, J. R., Anthony, J., Mukhtar, H., Liao, S. W., Chou, C. F., & Ho, Y. F. (2017). Blockchain: The evolutionary next step for ICT e-agriculture. Environments, 4(3), 50. https://doi.org/10.3390/environments4030050
Mao, D., Hao, Z., Wang, F., & Li, H. (2019). Novel automatic food trading system using consortium blockchain. Arabian Journal for Science and Engineering, 44, 3439-3455. https://doi.org/10.1007/s13369-018-3537-z
Mihelj, J., Zhang, Y., Kos, A., & Sedlar, U. (2019). Crowdsourced traffic event detection and source reputation assessment using smart contracts. Sensors, 19(15), 3267. https://doi.org/10.3390/s19153267
Prusty, A. K., Mohapatra, B. P., Rout, S., Pradhan, K., Tripathy, B., & Sahoo, G. (2021). Information Technology Emergence in Agriculture during COVID-19. Bulletin of Environment, Pharmacology and Life science, 10(9).
Prusty, A. K., Mohapatra, B. P., Rout, S., Senapati, R., & Padhy, C. (2021). Social media: Boon to Agriculture. PLANTA, 2, 245-250.
Saha, P., Prusty, A. K., & Nanda, C. (2025). An overview of pluralism in agricultural extension and advisory services. International Research Journal of Multidisciplinary Scope, 6(1), 131-138. https://doi.org/10.47857/irjms.2025.v06i01.02074
Suman, S., Deb, A., Prusty, A. K., Sameer, S., Divya, B. S., & Saha, S. (2024). Utilizing blockchain, IoT and machine learning for transparent agri-extension and resource distribution: A review. In 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) (pp. 1-6). IEEE. https://doi.org/10.1109/SCOPES64467.2024.10991113
Sylvester, G. (2019). E-agriculture in action: blockchain for agriculture, opportunities and challenges (pp. vii+-59).
Vroege, W., Dalhaus, T., & Finger, R. (2019). Index insurances for grasslands–A review for Europe and North-America. Agricultural systems, 168, 101-111. https://doi.org/10.1016/j.agsy.2018.10.009
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Vaishnavi Pulletikurthi

This work is licensed under a Creative Commons Attribution 4.0 International License.