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基于Fisco-Bcos联盟链技术的农产品溯源系统设计与实现研究

高琪娟 蒋道臻 乐阳 王广顺 张友华 丁文清 陈煜霖 桂利权

安徽农业大学学报2024,Vol.51Issue(3):530-536,7.
安徽农业大学学报2024,Vol.51Issue(3):530-536,7.DOI:10.13610/j.cnki.1672-352x.20240710.013

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

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

分类

信息技术与安全科学

引用本文复制引用

高琪娟,蒋道臻,乐阳,王广顺,张友华,丁文清,陈煜霖,桂利权..基于Fisco-Bcos联盟链技术的农产品溯源系统设计与实现研究[J].安徽农业大学学报,2024,51(3):530-536,7.

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(安徽省技术合同认定登记号2022340101002858)和安徽省科技计划项目(2022MKS12)共同资助. (2023rcjj14)

安徽农业大学学报

OACSTPCD

1672-352X

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