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International Symposium on Artificial Intelligence and Robotics

ISAIR 2018: Cognitive Internet of Things: Frameworks, Tools and Applications pp 343–355Cite as

Trustworthy Traceability of Quality and Safety for Pig Supply Chain Based on Blockchain

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 810))

Abstract

Pork safety incidents happened frequently in China even if the traditional traceability system was established, which declines the consumers’ confidence rapidly. Thus, this paper aims to explore a trustworthy traceability of quality and safety for the pig supply chain. We then proposed a framework for traceability of pig supply chain based on blockchain. In our research, we found that HACCP is suitable for screening key information in every link of pig supply chain, and GS1 can achieve the series connection of information on the pig supply chain, which reduces the isolated information and increases the transparency of the supply chain. However, information provided by traditional traceability system failed to guarantee the authenticity and credibility because of its hidden troubles such as monopoly, corruption, counterfeit, hacker attack and so on. To tackle this problem, we verified the validity and credibility of pig traceability information by deploying the smart contract on a consortium blockchain and analyzing its operating mechanism from the perspective of consumers.

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Acknowledgements

The research presented in this paper is supported by State Key Program for Research and Development of China (2016YFD0401205) and Beijing Science and Technology Program (Z161100001616004).

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Authors and Affiliations

  1. National Engineering Laboratory for Agri-Product Quality Traceability, Beijing, 100048, People’s Republic of China

    Yan Yuan, Xinliang Liu, Kunming Hong & Shaoyi Song

  2. College of Computer and Information Engineering, Beijing Technology and Business University, Beijing, 100048, People’s Republic of China

    Yan Yuan, Xinliang Liu, Kunming Hong & Shaoyi Song

  3. College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, People’s Republic of China

    Wanlin Gao

  4. Chinese Ministry of Agriculture and its Key Laboratory of Agricultural Informatization Standardization, Beijing, 100083, People’s Republic of China

    Wanlin Gao

Authors
  1. Yan Yuan
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  2. Xinliang Liu
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  3. Kunming Hong
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  4. Shaoyi Song
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  5. Wanlin Gao
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Corresponding author

Correspondence to Xinliang Liu .

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Editors and Affiliations

  1. Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan

    Huimin Lu

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Yuan, Y., Liu, X., Hong, K., Song, S., Gao, W. (2020). Trustworthy Traceability of Quality and Safety for Pig Supply Chain Based on Blockchain. In: Lu, H. (eds) Cognitive Internet of Things: Frameworks, Tools and Applications. ISAIR 2018. Studies in Computational Intelligence, vol 810. Springer, Cham. https://doi.org/10.1007/978-3-030-04946-1_34

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