From traceability to provenance of agricultural products through blockchain

Autor: Xujuan Zhou, Ka Ching Chan, Fang Zheng, Raj Gururajan, Enxing Zhou, Xiong Zhou, Zhangguang Wu
Rok vydání: 2020
Předmět:
Zdroj: Web Intelligence. 18:181-189
ISSN: 2405-6464
2405-6456
DOI: 10.3233/web-200440
Popis: As China’s agricultural output has improved, the national and local monitoring system of agricultural product safety has become much better, and monitoring standards have become increasingly strict. Despite this, there are agricultural product safety incidents which have caused consumer panic. One way to address this is by properly establishing tracking systems so that agricultural product logistics in China can be tracked and monitored. We explored this research objective with agricultural traceability and security in mind. One option that could be considered is the blockchain technology. Blockchain could also be used to ascertain the provenance of agricultural products to increase the quality and safety of the Chinese agricultural supply chain. In this context, this research converged on big data and technology, platforms and other means for product quality and safety of agricultural products traceability. In order to verify the accuracy of these three convergence, regression analysis were used to construct five models for verification of three hypothesis. The results show that based on “Internet+”, using big data, big technology and big platform can significantly increase the accuracy of agricultural products traceability system hence improve consumer acceptance of the safety of agricultural products.
Databáze: OpenAIRE
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