Table 6 Comparison of the suggested plant disease classification model with the baseline approaches.

From: Plant disease detection using a hybrid dilated CNN with attention mechanisms and optimized mask RCNN segmentation

Terms

Vision transformers51

ConvNeXt52

Swin transformer53

AVLO-DAA-MDeNet

Accuracy

85.424

80.832

83.88

88.408

Sensitivity

85.47212

80.71926

83.93536

88.35551

Specificity

85.37492

80.94699

83.82353

88.46154

Precision

85.63492

81.20816

84.10859

88.65045

FPR

14.62508

19.05301

16.17647

11.53846

FNR

14.52788

19.28074

16.06464

11.64449

NPV

85.37492

80.94699

83.82353

88.46154

FDR

14.36508

18.79184

15.89141

11.34955

F1_score

85.55344

80.96297

84.02189

88.50274

MCC

0.708458

0.616637

0.677576

0.768149