Hyperspectral imaging technology for determination of dichlorvos residue on the surface of navel orange  

作　　者：黎静 薛龙 刘木华 王晓 罗春生 

机构地区：[1]School of Engineering,Jiangxi Agricultural University [2]School of Mechanical and Electronical Engineering,East China Jiaotong University

出　　处：《Chinese Optics Letters》2010年第11期1050-1052,共3页中国光学快报（英文版）

基　　金：supported in part by the National Natural Science Foundation of China(No. 30760101);the Program for New Century Excellent Talents in University(No. NCET-09-0168);the Jiangxi Provincial Department of Science and Technology(No. 2009BNB05705);the Jiangxi Provincial Department of Education(No. GGJ08513)

摘　　要：A hyperspectral imaging system is developed to detect dichlorvos residue on the surface of navel orange.After acquiring hyperspectral images of 400 navel oranges,the actual content of dichlorvos residue is measured by gas chromatography.Optimal wavelengths are extracted using the regression coefficients of partial least squares （PLS）,and a PLS model with 12 factors is established.In the prediction set of 0.2282 11.652-mg/kg pesticide residue,the correlation coefficient and the root mean standard error are 0.8320 and 1.3416,respectively.The hyperspectral imaging technology can meet the requirement of online fast nondestructive detection.A hyperspectral imaging system is developed to detect dichlorvos residue on the surface of navel orange.After acquiring hyperspectral images of 400 navel oranges,the actual content of dichlorvos residue is measured by gas chromatography.Optimal wavelengths are extracted using the regression coefficients of partial least squares （PLS）,and a PLS model with 12 factors is established.In the prediction set of 0.2282 11.652-mg/kg pesticide residue,the correlation coefficient and the root mean standard error are 0.8320 and 1.3416,respectively.The hyperspectral imaging technology can meet the requirement of online fast nondestructive detection.

关 键 词：Imaging techniques 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]