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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

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References

Y.G.

Kong ,

X.F.

Hu ,

T.J.

Chen , et al. Research and devel opment of quality traceability system based on intelligent services for bee products, Applied Mechanics & Materials302 (2013), 694–699.

Yan ,

Shi and

Huang , Development of trace ability system of aquatic foods supply chain based on RFID and EPC internet of things, Transactions of the Chi nese Society of Agricultural Engineering29(15) (2013), 172–183.

Chen

R.S.

, Chen

C.C.

and Yeh

K.C.

, Using RFID technology in food produce traceability. WSEAS Transactions on information science and applications5(11) (2008), 1551–1560.

Bai and

L.I.

Meng , Incentives for the quality and safety traceability system of agricultural products, Asian Agricul tural Research (2) (2014), 44–46.

Y.B.

Li ,

L.X.

Zhang and

Hu , Construction and analysis of cotton seed quality and safety traceability system based on RFID, Journal of Agricultural Science & Technology16(1) (2014), 91–97.

Jin ,

Wei and

Wu , Study on the application of information coding and EAN.UCC bar code in agricultural product quality traceability - based on the analysis of agricultural supply chain, Journal of Convergence Information Technology8(10) (2013), 583–591.

Zhong ,

Lai ,

Chen , et al. Application of evolutionary encryption 2D barcode generation technology in agricultural product quality and safety traceability system, Asian Agricultural Research6(8) (2014), 76–79.

H.Y.

Zhang and

Chen , Quality traceability system of meat products based on RFID, Applied Mechanics & Materials469 (2014), 481–485.

Wang ,

Sun ,

Chen , et al. A review on application of agricultural product quality traceability system in China, Food Science36(11) (2015), 267–271.

10.

Xing ,

J.P.

Qian ,

X.M.

Wu , et al. Design and implementation of multiple sources traceability system for fruit and vegetable product, Journal of Food Safety & Quality4(6) (2013), 1705–1714.

11.

F.N.

Zhu and

Q.Y.

Zhang , Research of fresh meat quality tracing technology and traceability system based on RFID, Applied Mechanics & Materials543-547 (2014), 4460–4463.

12.

Zhao ,

Guo ,

Sun , et al., A system for pesticide residues detection and agricultural products traceability based on acetylcholinesterase biosensor and internet of things, International Journal of Electrochemical Science10(4) (2015), 3387–3399.

13.

Wang ,

Hao ,

Shi , et al., Quality information traceability system based on seafood’s production process, Transactions of the Chinese Society of Agricultural Engineering31(14) (2013), 264–271.

14.

X.L.

Huang , Study of agricultural product logistics information system based on multi-agent, Applied Mechanics & Materials457-458 (2014), 1415–1418.

15.

Zhao ,

Man and

Hou , The agricultural irrigation district information system based on multi-agent. Telkomnika Indonesian Journal of Electrical Engineering12(5) (2014), 3537–3543.

16.

T.H.

Zhao ,

P.F.

Zhang and

H.M.

Hou , The agricultural irrigation district information system based on multi-agent and GSM. Applied Mechanics & Materials433-435(5) (2013), 1853–1856.

17.

Davahli ,

Aminian and

Noghrehabadi , A novell mushroom cultivation mechanization architecture by using multi-agent and parallelism systems, International Journal of Computer Science & Artificial Intelligence4(1) (2014), 8–15.

18.

Yang ,

Qu ,

Luan , et al., Environmental implications of rural policies in China: A multi-agent model at the level of agricultural households, Journal of Integrative Environmental Sciences11(1) (2014), 17–37.

19.

Seco and

Vieira , A Multi-agent supply chain simulation analysis through a statistical mixed model., Procedia Technology16(1) (2013), 163–171.

20.

J.E.

Hernández ,

A.C.

Lyons ,

Mula , et al., Supporting the collaborative decision-making process in an automotive supply chain with a multi-agent system, Production Planning & Control25(8) (2014), 662–678.

Quality and safety traceability system of agricultural products based on Multi-Agent

Abstract

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