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Table 1 Number of selected features by CFS and PCA feature selection methods

From: Development of a fuzzy model for differentiating peanut plant from broadleaf weeds using image features

Classification

Selected features

Plant type detection (4 target classes)

std_R, ave_H, ave_S, std_S, ave_As, std_As, ave_Bs, difference_entropy, cluster_prominence_LL, cluster_shade_LL, entropy_HL, sum_entropy_HH

Crop/weed classification (2 target classes)

ave_H, ave_S, ave_As, std_As, ave_Bs, correlation_LL, cluster_shade_LL, homogeneity_HL, sum_entropy_HH