Classification of tea quality grades based on hyperspectral imaging spatial information and optimization models

To achieve efficient classification of tea quality grades, spatial information from hyperspectral imaging (HSI) technology is proposed as the research focus. The principal component analysis (PCA) method is employed to extract the first three principal component images of tea spectral images, and th...

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