The application of the spectral preprocessing algorithm has been proven to significantly improve classification accuracy ( As shown in Figure 1D , after the box plot method is used to eliminate abnormal samples, first order differential (D1), second order differences (D2), trend correction (TC), mean centering (MC), moving average filters (Move-Avg), multiple scattering correction (MSC), savitzky-golay (SG) smoothing, standard normalized variable (SNV), wavelet transform (WT) are respectively used for spectral data preprocessing ( Figures 2A-F, H, I )
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