Skip to main content

Table 10 Proposed and SOTA models metric comparison

From: Robust CRW crops leaf disease detection and classification in agriculture using hybrid deep learning models

Models

Sp (%)

Pr (%)

Valid Acc (%)

Test Acc (%)

VGG19

79.36

80.41

80.91

80.36

EfficientNetb6

78.81

81.39

81.89

79.80

ResNeXt

81.09

83.62

84.12

82.09

DenseNet201

78.87

79.09

79.59

79.87

AlexNet

82.91

83.34

83.84

83.91

YOLOv5

77.72

80.07

80.57

78.72

MobileNetV3

77.13

78.52

79.02

78.13

Proposed model

87.12

86.06

86.56

88.12