Genetic algorithm ( GA) was used to search for the best characteristic spectral ranges andwavelengths of visible /near － infrared spectra ( Vis /NIRs) ，a qualitative analysis model of support vector machine ( SVM) was set up to recognize navel oranges contaminated with different pesticides． The pesticides in the experiment were Methomyl，fenvalerate and omethoate． Using GA to search the entire band range ( 460 ～1 800 nm) ，the 9 best characteristic spectral ranges ( 318 wavelengths) were used as the input variables of SVM model and the accuracy of the prediction set classification was 100 ． Then GA method was used continually and 71 wavelengths were extracted，the corresponding SVM model was built with 99． 57 accuracy． Although the classification accuracy rate declined，the complexity of the model was greatly optimized by reducing the input variables to 71． The experiment results showed that the application of Vis /NIRs combined with SVM can effectively detect the navel oranges conta

RDPC.pdf

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