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《Journal of Beijing Technology and Business University(Natural Science Edition)》 2011-06
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Detecting Pesticide Residue on Crystal Crown Pear Surface by Hyperspectral Imaging Technology Combined with Artificial Neural Network

SUO Shao-zeng 1,LIU Cui-ling 1,WU Jing-zhu 1,CHEN Xing-hai 2,SUN Xiao-rong1,WU Sheng-nan1 (1.School of Computer Science and Information Engineering,Beijing Technology and Business University, Beijing 100048,China;2.Zolix Instruments Co.Ltd.,Beijing 101149,China)  
The hyperspectral imaging technology combined with BP neural network was used to detect pesticide residues on surface of fruit,crystal crown pears,such as chlorpyrifos and propargite pesticide.Twenty samples were prepared for both chlorpyrifos and propargite with different concentrations.Dropping the 100 μL and 150 μL pesticide solution droplets in pear surface,the hyperspectral images were scanned in 835.467 8~1 648.356 8 nm band range.Twenty regions of interest(ROI) were available for four sample groups,from which five samples were randomly selected as predictor set.The results of models built by BP neural network for 100 μL and 150 μL pesticide solution region showed that correlation coefficient of the samples was greater than 0.99 and 0.95 respectively.RMSEC and RMSEP maximum value was respectively 0.634 9,1.323 9 and 1.742 5,3.441 7.The results indicated that 150 μL pesticide solution region was better than 100 μL in the modeling.Hyperspectral image technology combined with BP neural network method is feasible for detection of pesticide residues on pear surface.which provide a new method for detection of pesticide residues on fruit surface.
【Fund】: 北京市自然科学基金资助项目(4073031);; 北京市优秀人才资助项目(20081D0500300130)
【CateGory Index】: TS255.7;O657.3
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