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Traceability Analysis of Cold Chain Food under COVID-19 Based on Block Chain Technology
5th International Conference on Crowd Science and Engineering, ICCSE 2021 ; : 61-67, 2021.
Article in English | Scopus | ID: covidwho-1774997
ABSTRACT
The distributed accounting method of blockchain, together with its decentralized and tamper proof characteristics, can solve the problem of lack of food safety traceability data and low credibility, which enable the traceability requirements of food chain traceability, problem food recall, food circulation information query. It also improves the food flow mode, and establishes a new food safety ecosystem. This paper innovatively integrates the principle of blockchain into the traceability and circulation process of Hebei cold chain food. In order to find the proportion and distribution of various types of commodities in the circulation of imported and domestic cold chain food in Hebei Province, the combination of qualitative and quantitative analysis methods, chi square test, association rules and other analysis methods are used. The results show that the demand for cold chain food in Hebei Province is mainly domestic food and supplemented by imported food. Cold chain poultry is the main need and other cold chain food is supplement. The flow of imported cold chain food is mainly from the surrounding provinces and cities. Furthermore, in the process of tracing the positive commodities, it is found that there are four main modes of commodity circulation in Hebei Province, namely, family model from farmer, wholesale market, new retail and multi-level sales model. The new retail and multi-level sales model fill the gap in the distribution and circulation of cold chain goods in Hebei Province. © 2021 ACM.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 5th International Conference on Crowd Science and Engineering, ICCSE 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 5th International Conference on Crowd Science and Engineering, ICCSE 2021 Year: 2021 Document Type: Article