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Modeling Analysis of Network Spatial Sensitive Information Detection Driven by Big Data Read chapter Read first chapter

2019 | OriginalPaper | Chapter

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

Author : Kun Wang

Published in: Advanced Hybrid Information Processing

Publisher: Springer International Publishing

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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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previous chapter Design of Agricultural Product Quality and Safety Big Data Fusion Model Based on Blockchain Technology
next chapter Research on Adaptive Scheduling Method of Communication Resource Information in Internet of Things Environment
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Metadata
Title
Artificial Intelligence Integration Method for Agricultural Product Supply Chain Quality Data Based on Block Chain
Author
Kun Wang
Copyright Year
2019
Book
Advanced Hybrid Information Processing

Print ISBN: 978-3-030-36401-4

Electronic ISBN: 978-3-030-36402-1

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-36402-1_24

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