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

文献类型： 外文期刊

第一作者： Tian, Hui

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

作者机构：

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.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序