Abstract
Traditional supply chain quality data integration methods costed a lot in integrating product quality, but the integration accuracy was very low and the effect is poor. In order to solved this problem, a supply chain of agricultural products was set up based on the artificial intelligence integration method of block chain using quality data. The framework of agricultural product supply chain was designed. The supply chain included four steps of production, processing, trade and consumption. Based on the frame, the workflow of the supply chain of agricultural products was expounded. The feasibility of the construction of agricultural product supply chain was verified by the experiment. The experimental results showed that the design of intelligent integration method can effectively reduce cost and improve the accuracy of integration.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, K. (2019). Artificial Intelligence Integration Method for Agricultural Product Supply Chain Quality Data Based on Block Chain. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 301. Springer, Cham. https://doi.org/10.1007/978-3-030-36402-1_24
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DOI: https://doi.org/10.1007/978-3-030-36402-1_24
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