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APROPRIETARILY DEVELOPED BIONIC OLFACTORY SYSTEM USED FOR RAPID DETECTION OF DETERIORATED REFRIGERATED-STORED APPLES

文献类型： 外文期刊

作者： Tian, Hui 1 ; Jia, Wenshen 1 ; Ma, Jie 1 ; Wang, Jihua 2 ; Hao, Jianxiong 5 ;

作者机构： 1.Beijing Informat Sci & Technol Univ, Coll Automat, Beijing, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Dept Beijing Res Ctr Agr Stand & Testing, Beijing, Peoples R China

3.Minist China, Dept Risk Assessment Lab Agroprod Beijing, Beijing, Peoples R China

4.Minist Agr & Rural Affairs, Key Lab Urban Agr North China, Beijing, Peoples R China

5.Hebei Univ Sci & Technol, Coll Biosci & Engn, Shijiazhuang, Hebei, Peoples R China

关键词： Electronic nose; sensor; principal component analysis; bakepropagation neural network

期刊名称：INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION （ 影响因子：0.796； 五年影响因子：0.972 ）

ISSN： 0826-8185

年卷期： 2021 年 36 卷

页码：

收录情况： SCI

摘要： To reduce huge economic losses caused by apple deterioration to growers and dealers, a high-sensitivity, low-cost portable electronic nose detection system used for rapid detection and early-warning of apple deterioration was designed. The system comprises an electro-chemical sensor array, data collection and transmission module and human-machine interaction software. Firstly, data collected by the electronic nose was pre-processed with smoothing filtering procedures, then a non-destructive detection model for refrigerated-stored apples was constructed on the basis of bionic olfactory technology in combination with bionics, principal component analysis (PCA), algorithms of kernel principal component analysis (KPCA), back-propagation neural network (BPNN) and support vector machine (SVM). The experiment results show that seven-point smoothing filtering can produce better outcomes, and models on the basis of backpropagation (BP), SVW, PCA+SVM and KPCA+SVM all reach a correct recognition rate of more than 90%, with correct recognition rates of PCA+SVM being higher than those of BP, SVM and KPCA+SVM. This research provides significant reference value for research focusing on electronic nose applied in non-destructive rapid detection and early-warning of apples.

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