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Article intends to adopt oil and rapeseed hyperspectral image data for a specific object, respectively, from the spectral characteristics analysis and image characteristics of two angles, manifold learning methods used to explore a hyperspectral image data from a non-linear low-dimensional nature of extracting information methods, combined with support vector machines, linear discriminant analysis, pattern recognition method to establish oil rapeseed varieties and species identification model