Interplanetary File System for Custom Logging System Integrated with Smart Contract
Keywords:
Blockchain, IPFS, Smart Contract, Web Application, IntegrationAbstract
The agricultural sector faces challenges in managing dynamic data during transactions, particularly price quotations between farmers and buyers. Traditional smart contract systems often lack the flexibility to handle real-time data changes. This research proposes a customized logging system that integrates smart contracts with the InterPlanetary File System (IPFS) within a web application. By storing data references (hashes) on the blockchain and actual logs on IPFS, the system ensures reliable data recording, flexibility in updating transaction logs, and improved storage efficiency. This integration enhances the system's ability to manage fluctuating agricultural transactions. The proposed method aims to create a robust framework for managing price quotations, which can be extended to other industries with similar requirements.
References
Battah, A. A., Madine, M. M., Alzaabi, H., Yaqoob, I., Salah, K., & Jayaraman, R. (2020). Blockchain-Based Multi-Party Authorization for Accessing IPFS Encrypted Data. IEEE Access, 8, 196813–196825. https://doi.org/10.1109/ACCESS.2020.3034260
Bin Saif, M., Migliorini, S., & Spoto, F. (2024a). Efficient and Secure Distributed Data Storage and Retrieval Using Interplanetary File System and Blockchain. Future Internet, 16(3), 98. https://doi.org/10.3390/fi16030098
Bin Saif, M., Migliorini, S., & Spoto, F. (2024b). Efficient and Secure Distributed Data Storage and Retrieval Using Interplanetary File System and Blockchain. Future Internet, 16(3), 98. https://doi.org/10.3390/fi16030098
Bosona, T., & Gebresenbet, G. (2023). The Role of Blockchain Technology in Promoting Traceability Systems in Agri-Food Production and Supply Chains. Sensors, 23(11), 5342. https://doi.org/10.3390/s23115342
Burgess, P., Sunmola, F., & Wertheim-Heck, S. (2024). Information needs for transparency in blockchain-enabled sustainable food supply chains. International Journal of Information Management Data Insights, 4(2), 100262. https://doi.org/10.1016/j.jjimei.2024.100262
Charatsari, C., Michailidis, A., Francescone, M., De Rosa, M., Aidonis, D., Bartoli, L., La Rocca, G., Camanzi, L., & Lioutas, E. D. (2023). Do Agricultural Knowledge and Innovation Systems Have the Dynamic Capabilities to Guide the Digital Transition of Short Food Supply Chains? Information, 15(1), 22. https://doi.org/10.3390/info15010022
Cocco, L., Mannaro, K., Tonelli, R., Mariani, L., Lodi, M. B., Melis, A., Simone, M., & Fanti, A. (2021). A Blockchain-Based Traceability System in Agri-Food SME: Case Study of a Traditional Bakery. IEEE Access, 9, 62899–62915. https://doi.org/10.1109/ACCESS.2021.3074874
Duan, K., Onyeaka, H., Pang, G., & Meng, Z. (2024). Pioneering food safety: Blockchain’s integration in supply chain surveillance. Journal of Agriculture and Food Research, 18, 101281. https://doi.org/10.1016/j.jafr.2024.101281
Egunjobi, O. O., Gomes, A., Egwim, C. N., & Morais, H. (2024). A systematic review of blockchain for energy applications. E-Prime - Advances in Electrical Engineering, Electronics and Energy, 9, 100751. https://doi.org/10.1016/j.prime.2024.100751
Ellahi, R. M., Wood, L. C., & Bekhit, A. E.-D. A. (2024). Blockchain-Driven Food Supply Chains: A Systematic Review for Unexplored Opportunities. Applied Sciences, 14(19), 8944. https://doi.org/10.3390/app14198944
Fernández-Iglesias, M. J., Delgado von Eitzen, C., & Anido-Rifón, L. (2024). Efficient Traceability Systems with Smart Contracts: Balancing On-Chain and Off-Chain Data Storage for Enhanced Scalability and Privacy. Applied Sciences, 14(23), 11078. https://doi.org/10.3390/app142311078
Friedman, N., Tan, Z., Haskins, M. N., Ju, W., Bailey, D., & Longchamps, L. (2024). Understanding Farmers’ Data Collection Practices on Small-to-Medium Farms for the Design of Future Farm Management Information Systems. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), 1–28. https://doi.org/10.1145/3637416
Haque, E. U., Abbasi, W., Almogren, A., Choi, J., Altameem, A., Rehman, A. U., & Hamam, H. (2024). Performance enhancement in blockchain based IoT data sharing using lightweight consensus algorithm. Scientific Reports, 14(1), 26561. https://doi.org/10.1038/s41598-024-77706-x
Hasan, H. R., Salah, K., Jayaraman, R., Ahmad, R. W., Yaqoob, I., & Omar, M. (2020). Blockchain-Based Solution for the Traceability of Spare Parts in Manufacturing. IEEE Access, 8, 100308–100322. https://doi.org/10.1109/ACCESS.2020.2998159
Huang, H., Lin, J., Zheng, B., Zheng, Z., & Bian, J. (2020). When Blockchain Meets Distributed File Systems: An Overview, Challenges, and Open Issues. IEEE Access, 8, 50574–50586. https://doi.org/10.1109/ACCESS.2020.2979881
Khan, D., Jung, L. T., & Hashmani, M. A. (2021). Systematic Literature Review of Challenges in Blockchain Scalability. Applied Sciences, 11(20), 9372. https://doi.org/10.3390/app11209372
Kiani, R., & Sheng, V. S. (2024). Automated Repair of Smart Contract Vulnerabilities: A Systematic Literature Review. Electronics, 13(19), 3942. https://doi.org/10.3390/electronics13193942
Kumar C, V., & Selvaprabhu, P. (2023). An Examination of Distributed and Decentralized Systems for Trustworthy Control of Supply Chains. IEEE Access, 11, 137025–137052. https://doi.org/10.1109/ACCESS.2023.3338739
Liang, C., Zhang, J., Ma, S., Zhou, Y., Hong, Z., Fang, J., Zhou, Y., & Tang, H. (2024). Study on data storage and verification methods based on improved Merkle mountain range in IoT scenarios. Journal of King Saud University - Computer and Information Sciences, 36(6), 102117. https://doi.org/10.1016/j.jksuci.2024.102117
Lin, I.-C., Kuo, Y.-H., Chang, C.-C., Liu, J.-C., & Chang, C.-C. (2024). Symmetry in Blockchain-Powered Secure Decentralized Data Storage: Mitigating Risks and Ensuring Confidentiality. Symmetry, 16(2), 147. https://doi.org/10.3390/sym16020147
Lopez-Barreiro, J., Alvarez-Sabucedo, L., Garcia-Soidan, J. L., & Santos-Gago, J. M. (2024). Towards a Blockchain Hybrid Platform for Gamification of Healthy Habits: Implementation and Usability Validation. Applied System Innovation, 7(4), 60. https://doi.org/10.3390/asi7040060
Mughal, M. H., Shaikh, Z. A., Ali, K., Ali, S., & Hassan, S. (2022). IPFS and Blockchain Based Reliability and Availability Improvement for Integrated Rivers’ Streamflow Data. IEEE Access, 10, 61101–61123. https://doi.org/10.1109/ACCESS.2022.3178728
Ortega, J. C. Ú., Rodríguez-Molina, J., Martínez-Núñez, M., & Garbajosa, J. (2022). A Proposal for Decentralized and Secured Data Collection from Unmanned Aerial Vehicles in Livestock Monitoring with Blockchain and IPFS. Applied Sciences, 13(1), 471. https://doi.org/10.3390/app13010471
Öztürk, M. (2024). An Agro-Food Planning System: Democratic, Decentralized, Holistic, and Voluntary Participatory. Sustainability, 16(21), 9441. https://doi.org/10.3390/su16219441
Reardon, T., Awokuse, T., Belton, B., Liverpool-Tasie, L. S. O., Minten, B., Nguyen, G., Qanti, S., Swinnen, J., Vos, R., & Zilberman, D. (2024). Emerging outsource agricultural services enable farmer adaptation in agrifood value chains: A product cycle perspective. Food Policy, 127, 102711. https://doi.org/10.1016/j.foodpol.2024.102711
Sakib, S. M. N. (2024). Blockchain Technology for Smart Contracts (pp. 246–266). https://doi.org/10.4018/979-8-3693-0482-2.ch014
Tmeizeh, M., Rodríguez-Domínguez, C., & Hurtado-Torres, M. V. (2024). File chunking towards on-chain storage: a blockchain-based data preservation framework. Cluster Computing, 27(10), 13531–13546. https://doi.org/10.1007/s10586-024-04646-6
Westphal, E., Leiding, B., & Seitz, H. (2023). Blockchain-based quality management for a digital additive manufacturing part record. Journal of Industrial Information Integration, 35, 100517. https://doi.org/10.1016/j.jii.2023.100517
Widayat, I. W., Mantau, A. J., & Köppen, M. (2023). An Edge Computing Storage and Distributed Data-Driven Bridging Framework for Smart Agriculture Using Clustered InterPlanetary File System (IPFS) (pp. 154–165). https://doi.org/10.1007/978-3-031-40971-4_15
Yu, J., Zhang, X., Wang, J., Zhang, Y., Shi, Y., Su, L., & Zeng, L. (2024). Robust and Trustworthy Data Sharing Framework Leveraging On-Chain and Off-Chain Collaboration. Computers, Materials & Continua, 78(2), 2159–2179. https://doi.org/10.32604/cmc.2024.047340
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Onesinus Saut Parulian, Irwansyah Saputra

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










