ANN-based electronic nose system in the application of food nondestructive testing

Authors

WAN Cihui, College of Computer and Information Technology, China Three Gorges University, Yichang, Hubei 443002, China; Department of Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Science, Beijing 100097,
JIA Wenshen, Department of Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Science, Beijing 100097,China; Department of Risk Assessment Lab for Agro-products(Beijing), Ministry of Agriculture.P.R.China, Beiji
WANG Jihua, College of Computer and Information Technology, China Three Gorges University, Yichang, Hubei 443002, China; Department of Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Science, Beijing 100097,
WU Nanjing, Department of Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Science, Beijing 100097,China; Department of Risk Assessment Lab for Agro-products(Beijing), Ministry of Agriculture.P.R.China, Beiji

Abstract

Electronic nose technique is a kind of emerging technology in gas analysis and has been widely applied in agricultural products and food testing, due to the advantages of its rapid response in a short time. In this paper, a number of ANN algorithm were illuminated, and the applications of ANN-based electronic nose system in destructive testing of fruit, meal, tea, milk and wine etc. were reviewed. Finally, the shortcomings of electronic nose technique and ANN algorithm and the development trend of them were also discussed.

Publication Date

10-28-2016

First Page

221

Last Page

225

DOI

10.13652/j.issn.1003-5788.2016.10.049

Recommended Citation

Cihui, WAN; Wenshen, JIA; Jihua, WANG; and Nanjing, WU (2016) "ANN-based electronic nose system in the application of food nondestructive testing," Food and Machinery: Vol. 32: Iss. 10, Article 48.
DOI: 10.13652/j.issn.1003-5788.2016.10.049
Available at: https://www.ifoodmm.cn/journal/vol32/iss10/48

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