Table 7 Comparative examination of different established methodologies.

From: An automated hybrid deep learning framework for paddy leaf disease identification and classification

Ref

Methods

Accuracy

Precision

Recall

F1-score

23

Mbi-LSTM

97.16

96.85

97.25

95.99

29

CNN-VGG

93

92.85

91.55

90.54

31

DCNN

96.08

95.52

94.45

95.75

33

IoT-CNN

97.7

96.13

95.55

96.55

34

GCN

97

96.55

95.25

94.32

Proposed Model

MobileNetV3 + GKSO-SA + CatBoost

98.52

95.45

96.96

97.54

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