Table 6 Comparison with the state-of-the-art methods on Banana dataset32.

From: Ambiguity-aware semi-supervised learning for leaf disease classification

Method

Accuracy

Precision

Recall

\(\hbox {F}_1\)

Mobilenetv236

99.57

99.50

99.43

99.46

Efficient37

99.50

99.30

99.35

99.32

VGG1638

99.44

99.31

99.27

99.29

Resnet5039

99.69

99.61

99.64

99.62

DeiT28

99.31

99.17

99.11

99.14

The proposed method (DeiT with 50% label data)

99.23

98.99

99.00

98.99

  1. Significant values are in bold.