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A Study on Mechanization, Data, and Insurance Challenges for Agriculture Based on Hyperledger Fabricopen access

Authors
Hu, ZhihuaKim, BongjunJeong, Junho
Issue Date
Sep-2024
Publisher
IEEE
Keywords
Agriculture; Blockchain; Hyperledger Fabric; Multi-Channel; Scalability
Citation
IEEE Access, v.12, pp 144855 - 144869
Pages
15
Indexed
SCIE
SCOPUS
Journal Title
IEEE Access
Volume
12
Start Page
144855
End Page
144869
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/26419
DOI
10.1109/ACCESS.2024.3468430
ISSN
2169-3536
2169-3536
Abstract
Agriculture is essential for human survival facing critical issues such as limited access to modern machinery, a lack of comprehensive data, and difficulties in implementing insurance programs. To address these challenges, this study explores the potential of blockchain technology, finding that the Hyperledger Fabric can satisfy certain criteria vital for rectifying the existing issues due to its secure and scalable features. Utilizing the channel mechanism of Hyperledger Fabric, we developed a multi-channel network infrastructure to cater to the varying needs in agriculture. Each agricultural service is facilitated through its unique channel, accompanied by an easy-to-navigate webpage, enhancing user experience while ensuring data security. In our experiments, we deployed the system using Docker containers and virtual machines. Performance tests were conducted to evaluate the system's effectiveness in data sharing, machinery service coordination, and insurance claim processing. The results demonstrated that the system effectively improves data sharing efficiency, streamlines machinery service coordination, and enhances the transparency and reliability of insurance claims processing. These findings highlight the potential of our system to significantly enhance agricultural production efficiency. The flexible and expandable nature of this system offers tremendous potential for future improvements, aiming to fulfill the multifaceted demands of agriculture more effectively, thereby laying a robust foundation for significantly enhancing agricultural production efficiency. © 2013 IEEE.
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