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Information Traceability Model for the Grain and Oil Food Supply Chain Based on Trusted Identification and Trusted Blockchain

Author

Listed:
  • Xin Zhang

    (School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
    Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China
    Key Laboratory of Internet and Big Data for China Light Industry, Beijing Technology and Business University, Beijing 100048, China)

  • Yue Li

    (School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
    Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China
    Key Laboratory of Internet and Big Data for China Light Industry, Beijing Technology and Business University, Beijing 100048, China)

  • Xiangzhen Peng

    (School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
    Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China
    Key Laboratory of Internet and Big Data for China Light Industry, Beijing Technology and Business University, Beijing 100048, China)

  • Zhiyao Zhao

    (School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
    Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China
    Key Laboratory of Internet and Big Data for China Light Industry, Beijing Technology and Business University, Beijing 100048, China)

  • Jiaqi Han

    (School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
    Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China
    Key Laboratory of Internet and Big Data for China Light Industry, Beijing Technology and Business University, Beijing 100048, China)

  • Jiping Xu

    (School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
    Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China
    Key Laboratory of Internet and Big Data for China Light Industry, Beijing Technology and Business University, Beijing 100048, China)

Abstract

The grain and oil food supply chain has a complex structure, long turnover cycles, and many stakeholders, so it is challenging to maintain the security of this supply chain. A reliable traceability system for the whole grain and oil food supply chain will help to improve the quality and safety of these products, thus enhancing people’s living standards. Driven by the trusted blockchain and trusted identity concepts, this paper constructs an information traceability model for the whole grain and oil food supply chain, and it describes how contract implementation and example verification are performed. First, an information traceability model framework of the whole grain and oil food supply chain is established based on the survey and analysis of the grain and oil food supply chain. Second, trusted identification, blockchain master–slave multi-chain storage, and trusted traceability mechanisms are designed. The trusted identification mechanism is used to track the data information of the whole grain and oil food supply chain. The blockchain master–slave multi-chain storage solves the problem of miscellaneous information caused by many links in the whole grain and oil supply chain, while the credible traceability mechanism ensures the credibility of information collection, storage, and transmission. Finally, based on the data flow, the model operation process is analyzed. Using the information traceability model, the grain and oil food trusted traceability system is designed and developed with the Hyperledger Fabric open-source framework, and a case study is conducted to verify the system. The results show that the model and system constructed in this study solve the problems of low data security and poor sharing, which exist widely in the traditional traceability mechanism, and enable the trusted uplink, storage, processing, and traceability of multi-source heterogeneous information in the lifecycle of the whole grain and oil food supply chain. The proposed system improves the granularity and accuracy of grain and oil food traceability, and provides support for the strategic security of grain stock.

Suggested Citation

  • Xin Zhang & Yue Li & Xiangzhen Peng & Zhiyao Zhao & Jiaqi Han & Jiping Xu, 2022. "Information Traceability Model for the Grain and Oil Food Supply Chain Based on Trusted Identification and Trusted Blockchain," IJERPH, MDPI, vol. 19(11), pages 1-21, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6594-:d:826662
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    References listed on IDEAS

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    1. Christian Bux & Erica Varese & Vera Amicarelli & Mariarosaria Lombardi, 2022. "Halal Food Sustainability between Certification and Blockchain: A Review," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    2. Mónica Duque-Acevedo & Luis Jesús Belmonte-Ureña & Natalia Yakovleva & Francisco Camacho-Ferre, 2020. "Analysis of the Circular Economic Production Models and Their Approach in Agriculture and Agricultural Waste Biomass Management," IJERPH, MDPI, vol. 17(24), pages 1-32, December.
    3. Thomas K. Dasaklis & Theodore G. Voutsinas & Giannis T. Tsoulfas & Fran Casino, 2022. "A Systematic Literature Review of Blockchain-Enabled Supply Chain Traceability Implementations," Sustainability, MDPI, vol. 14(4), pages 1-30, February.
    4. Giuseppe Varavallo & Giuseppe Caragnano & Fabrizio Bertone & Luca Vernetti-Prot & Olivier Terzo, 2022. "Traceability Platform Based on Green Blockchain: An Application Case Study in Dairy Supply Chain," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    5. Deepak Prashar & Nishant Jha & Sudan Jha & Yongju Lee & Gyanendra Prasad Joshi, 2020. "Blockchain-Based Traceability and Visibility for Agricultural Products: A Decentralized Way of Ensuring Food Safety in India," Sustainability, MDPI, vol. 12(8), pages 1-20, April.
    6. Nino Adamashvili & Radu State & Caterina Tricase & Mariantonietta Fiore, 2021. "Blockchain-Based Wine Supply Chain for the Industry Advancement," Sustainability, MDPI, vol. 13(23), pages 1-19, November.
    7. Choi, Tsan-Ming & Siqin, Tana, 2022. "Blockchain in logistics and production from Blockchain 1.0 to Blockchain 5.0: An intra-inter-organizational framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
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    Cited by:

    1. Yuan Zhang & Guangyuan Cui & Hongyi Ge & Yuying Jiang & Xuyang Wu & Zhenyu Sun & Zhiyuan Jia, 2023. "Research on Blockchain-Based Cereal and Oil Video Surveillance Abnormal Data Storage," Agriculture, MDPI, vol. 14(1), pages 1-16, December.
    2. Vourazeris, Kelsey & Manfredo, Mark R. & Kozicki, Michael N., 2024. "Value of Information of Improved Traceability in the Fresh Produce Industry," 2024 Annual Meeting, July 28-30, New Orleans, LA 343643, Agricultural and Applied Economics Association.
    3. Boyu Liu & Xiameng Si & Haiyan Kang, 2022. "A Literature Review of Blockchain-Based Applications in Supply Chain," Sustainability, MDPI, vol. 14(22), pages 1-24, November.

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