In order to realize the nondestructive detection of bruises on app les,the detection model is established based on hyperspectral imaging techno logy combined with pattern recognition. Firstly,the hyperspectral imaging system is used to collect the hyperspectral i mages of the normal apples and the bruise apples.And the average spectral reflectance curves of the normal areas a nd the bruise areas are acquired. Then,the standard normal variation (SNV) and the multi-scatter calibration (MS C) are applied to reduce the impact of noise in spectra of apples,respectively.Finally,the partial least -square discriminant analysis (PLS-DA) is applied to build detection model of SNV+PLS-DA and MSC+PLS-DA.The results show that the noise of the hyperspectral image of apples can be effectively removed by SNV and MSC preproce ssing.The correct identification rates predicted by SNV+PLS-DA detection model for the normal app les and the bruise apples in calibration set and prediction set reach 70.8% and 77.5%,respectively.Moreo ver,the correct identification rates predicted by MSC+PLS-DA detection model for the normal apples and the bruise ap ples in calibration set and prediction set reach 71.7% and 77.5%,respectively.This study indicates that the hyperspectral imaging technology combined with pattern recognition is effective for identifying the bruises on apples.