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The purpose of this research is to explore to detect and predict the starch content of potato by the hyperspectral imaging technique. The original images of 118 samples were acquired by the hyperspectral imaging system, and then the suitable pretreatment was selected. The prediction model for starch content of potato was constructed by the 100 hyperspectral images randomly selected which was dealt with smoothing, PCA and PLS. The determination coefficient of this model was 0.8234, and the rootdoi:10.14257/astl.2015.111.09 fatcat:6docijilybdh7igmjcj67pyut4