Abstract
Food safety traceability is an important method used to guarantee food safety, but the traditional data center-based food safety traceability system is not of strong data security. A blockchain-based food safety traceability system was constructed in this study and divided into four layers using a hyperledger architecture. It is verified through a test that the traceability system with blockchain technology can effectively prevent nodes from tampering data, so the data becomes safer and more credible.
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References
Jin, S., Zhang, Y., Xu, Y.: Amount of information and the willingness of consumers to pay for food traceability in China. Food Control 77, 163–170 (2017)
Kim, Y.G., Woo, E.: Consumer acceptance of a quick response (QR) code for the food traceability system: application of an extended technology acceptance model (TAM). Food Res. Int. 85, 266–272 (2016)
Wang, J., Yue, H., Zhou, Z.: An improved traceability system for food quality assurance and evaluation based on fuzzy classification and neural network. Food Control 79, 363–370 (2017)
Huckle, S., Bhattacharva, R., White, M., et al.: Internet of things, blockchain and shared economy applications. Procedia Comput. Sci. 98, 461–466 (2016)
Ken, A.: Digital blockchain networks appear to be following Metcalfe’s Law. Electron. Commer. Res. Appl. 24, 23–29 (2017)
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Project 2662018YJ016 supported by the Fundamental Research Funds for the Central Universities.
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Juan, Y., Fang, T., Cheng, Z. (2021). A Food Safety Traceability System Based on Blockchain. In: Chang, V., Ramachandran, M., Méndez Muñoz, V. (eds) Modern Industrial IoT, Big Data and Supply Chain. Smart Innovation, Systems and Technologies, vol 218. Springer, Singapore. https://doi.org/10.1007/978-981-33-6141-6_34
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DOI: https://doi.org/10.1007/978-981-33-6141-6_34
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