基于梨枣轻微损伤的可见/近红外光谱判别研究

lassification discrimination models of subtle bruise "Lizao" jujubes were studied by using visible/near-infrared spectroscopy. The least squares-support vector machine(LS-SVM) and partial least squares-line discriminant analysis(PLS-LDA) were applied to develop classification models, which based on different spectra pretreatments and different modeling wavelength bands. The results indicated that the best discrimination model was PLS-LDA model using Savitzky-Golay of 9 in the range of 780~1100nm, for the calibration and prediction set of PLS-LDA model, the discrimination rate was 97.8% and 96.7%, respectively.