Presents the results of the Random Forest (RF) and Decision Tree (DT) models, which utilize advanced hybrid features from both spectral reflectance indices (SRIs) and RGB indices (RGBIs) together to predict various properties of tomato fruits.
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https://figshare.com/articles/dataset/Presents_the_results_of_the_Random_Forest_RF_and_Decision_Tree_DT_models_which_utilize_advanced_hybrid_features_from_both_spectral_reflectance_indices_SRIs_and_RGB_indices_RGBIs_together_to_predict_various_properties_of_tomato_fruits_/26834537
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These properties include chlorophyll b (Chl b), chlorophyll a (Chl a), total soluble solids (TSS), titratable acidity (TA), the TSS/TA ratio, carotenoids (Car), lycopene, and firmness.
创建时间：
2024-08-26
