基于Fisco-Bcos联盟链技术的农产品溯源系统设计与实现研究
Research on the design and implementation of an agricultural product traceability system based on Fisco-Bcos consortium blockchain technology
高琪娟 1蒋道臻 2乐阳 2王广顺 2张友华 3丁文清 4陈煜霖 5桂利权5
作者信息
- 1. 谢裕大茶叶股份有限公司博士后科研工作站,合肥 230036;合肥师范学院计算机与人工智能学院,合肥 230061;安徽农业大学茶树生物学与资源利用国家重点实验室,合肥 230036
- 2. 合肥师范学院计算机与人工智能学院,合肥 230061
- 3. 安徽农业大学安徽省北斗精准农业信息工程研究中心,合肥 230036
- 4. 安徽农业大学林学与园林学院,合肥 230036
- 5. 谢裕大茶叶股份有限公司博士后科研工作站,合肥 230036
- 折叠
摘要
随着消费者对农产品质量要求的不断提升,有效的质量安全监管成为现代农业亟需解决的问题.农产品溯源系统作为一种有效的解决方案,能够提升信息的透明度和操作的可靠性.本研究利用Fisco-Bcos联盟链技术,构建了一个新型的农产品溯源系统.通过即时将农产品质量相关的图片信息上传到区块链上,本系统提升了数据的可信性,强化了消费者的监管能力及知情权.结果表明该系统显著提高了溯源信息的真实性和整体的信任度.此外,本研究系统通过仅上传关键的质量认证图片,而非全部溯源节点信息,不仅加强了消费者的知情权和监管能力,同时也进一步有效减轻了区块链节点的存储压力.
Abstract
With the growing expectations for the quality of agricultural products,the need for robust quality and safety regulations has become a critical concern in modern agriculture.To address this issue,a traceability system for agricultural products has been identified as a viable solution,as it can improve the transparency of in-formation and the reliability of operations.In this study,a novel traceability system for agricultural products was constructed by Fisco-Bcos consortium blockchain technology,which system enhanced data integrity by immedi-ately uploading images pertinent to the quality of agricultural products onto the blockchain,and in turn fortified consumer supervision and the right to be informed.The results indicated that the system significantly enhanced the authenticity of traceability information and overall trustworthiness.Furthermore,the system was designed to upload only essential quality certification images,rather than information on every traceability node.The result not only further strengthens consumer's rights to information and oversight but also effectively reduces the storage burden on blockchain nodes.
关键词
溯源系统/农产品/Fisco-Bcos/区块链Key words
traceability system/agricultural products/Fisco-Bcos/blockchain引用本文复制引用
基金项目
合肥师范学院高层次人才科研资助基金项目(2023rcjj14)
安徽省博士后研究人员科研活动经费资助项目(2023B677)
安徽省教育厅重点项目(2023AH051303)
安徽省教育厅重大项目(2022AH040122)
茶树生物学与资源利用国家重点实验室开放基金(SKLTOF20230127)
安徽省社会科学创新发展研究课题(2021CX194)
横向项目(2022340101002858)
安徽省科技计划项目(2022MKS12)
出版年
2024
国家科技期刊平台
NSTL
万方数据