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Artificial Intelligence Integration Method for Agricultural Product Supply Chain Quality Data Based on Block Chain

  • Kun WangEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 301)

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.

Keywords

Block chain Agricultural product supply chain Supply chain quality Intelligent integration method Artificial intelligence 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Institute of Agricultural InformationJiangsu Agri-Animal Husbandry Vocational CollegeTaizhouChina
  2. 2.Taizhou Agricultural Internet of Things Engineering Technology Research CenterTaizhouChina

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