Identification of roasting degree and interpretability analysis of Yunnan arabica coffee beans based on multi-dimensional visual features and CNNs-SHAP
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This study extracted Yunnan Arabica coffee bean features through weighted fusion of CIE L*a*b* color histograms, Gray-level Co-occurrence Matrix-Local Binary Pattern composite textures, and morphological parameters, aiming to achieve accurate roasting degree i... ...
