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Issue title: Special Section: Applications of intelligent & fuzzy theory in engineering technologies and applied science
Guest editors: Stanley Lima and Álvaro Rocha
Article type: Research Article
Authors: Yingjie, Songa; b; * | Cuicui, Lvc | Junxian, Liua
Affiliations: [a] School of Finance, Shandong Technology and Business University, Yantai, China | [b] School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai, China | [c] School of Foreign Studies, Shandong Technology and Business University, Yantai, China
Correspondence: [*] Corresponding author. Song Yingjie. E-mail: [email protected].
Abstract: As essential consumer goods for daily life, agricultural products tend to go bad from the farm to the table. Therefore, people put forward higher requirements for the quality of agricultural products. How to manage and control the quality of agricultural products and to control the quality of agricultural products by chain type are the cores of scientific research. The purpose of combining Agent technology with agricultural product quality safety traceability system was to establish the quality and safety traceability system of agricultural products based on Multi-Agent in the study. Artificial intelligence, intelligent control and intelligent detection technologies were used effectively in the system. The framework of quality and safety traceability system of agricultural products proposed in this study can be used to analyze modules in the quality of agricultural products. Through a number of Agent refining divisions of labor, the quality safety early warning and supervision control for the supply chain of agricultural products was carried out. The performance evaluation system of agricultural product quality safety traceability system based on Multi-Agent was established, so as to provide a systematic evaluation basis for the quality supply of agricultural products.
Keywords: Multi-Agent, agricultural products, quality safety, artificial intelligence
DOI: 10.3233/JIFS-169625
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2731-2740, 2018
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