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Table 5 Weed detection validation and testing results when ShuffleNet-v2 was trained to detect and discriminate individual weed species

From: Deep learning for detecting herbicide weed control spectrum in turfgrass

Deep learning architecture Weed species Validation dataset Testing dataset
Precision Recall Overall accuracy F1 score Precision Recall Overall accuracy F1 score
ShuffleNet-v2 Bermudagrass 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000
Crabgrass 0.923 0.942 0.989 0.932 0.915 0.937 0.988 0.926
Dallisgrass 0.990 0.970 0.997 0.980 0.985 0.970 0.996 0.977
Dollarweed 0.923 0.913 0.986 0.918 0.922 0.903 0.986 0.912
Goosegrass 0.971 0.990 0.997 0.980 0.969 0.985 0.996 0.977
Old world diamond-flower 0.984 0.997 0.998 0.990 0.980 0.998 0.998 0.989
Tropical signalgrass 0.940 0.918 0.988 0.929 0.935 0.910 0.987 0.922
Virginia buttonweed 0.995 0.983 0.998 0.989 0.995 0.980 0.998 0.987
White clover 0.913 0.923 0.986 0.918 0.903 0.920 0.985 0.911