Abstract:The hyperspectral imaging technology was used to detect the bruises and solid soluble content (SSC) of apples simultaneously. The image at 794nm from the first principle component was subtracted, the series of denoising and threshold processing were performed and the bruises on apples were predicted with the accuracy of 92.6%. In the hyperspectral imaging, region of interest (ROI) was determined and spectrum reference curve was calculated. The original reflectance spectrum curve was processed by multiplicative scatter correction (MSC), a first derivative and Savitzky-Golay (SG) smoothing, and PLSR model was developed to predict SSC with Rc of 0.93, SEC of 0.47°Brix, and Rv of 0.92, SEV of 0.67°Brix. The research showed that it was feasible to detect the SSC and bruises on apples simultaneously with hyperspectral imaging technology.