Application of PCA Method on Pest Information Detection of Electronic Nose

摘要：

In this paper, we apply electronic nose to detect crop pest information for the first time, based on the obtained sensor array data. Feature parameters from each sensor curve such as maximum, max differential value, mean value and stable value etc. are extracted and then used as the input of pattern recognition, then principal component analysis (PCA) is adopted to analyze the test sample. Experiments investigate the PCA method on electronic nose is able to detect whether rice is attacked by insect pests, to know the inroad extent of damaged rice and the amount of pests on each stem of paddy rice.

关键词： pest information electronic nose PCA.

作者: Jie Hu

作者单位: Department of Equipment First Affiliated Hospital, Zhejiang University Hangzhou, 310003, China

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 1465-1468

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）