Table 5 Classification report summary.

From: Deep learning based ensemble model for accurate tomato leaf disease classification by leveraging ResNet50 and MobileNetV2 architectures

Class

Model

Precision

Recall

F1 – Score

Support

Tomato bacterial spot

ResNet50

0.8684

0.9000

0.8839

110

Tomato early blight

0.9000

0.9000

0.9000

110

Tomato late blight

0.8839

0.9000

0.8919

110

Tomato leaf mold

0.8839

0.9000

0.8919

110

Tomato septoria leaf spot

0.8839

0.9000

0.8919

110

Tomato spider mites two-spotted spider mite

0.9000

0.9000

0.9000

110

Tomato target spot

0.8919

0.9000

0.8959

110

Tomato yellow leaf curl virus

0.9252

0.9000

0.9124

110

Tomato mosaic virus

0.9340

0.9000

0.9167

110

Tomato healthy

0.9340

0.9000

0.9167

110

Tomato bacterial spot

MobileNetV2

0.9712

0.9182

0.9439

110

Tomato early blight

0.8938

0.9182

0.9058

110

Tomato late blight

0.9018

0.9182

0.9099

110

Tomato leaf mold

0.9018

0.9182

0.9099

110

Tomato septoria leaf spot

0.9439

0.9182

0.9309

110

Tomato spider mites two-spotted spider mite

0.9099

0.9182

0.9140

110

Tomato target spot

0.8860

0.9182

0.9018

110

Tomato yellow leaf curl virus

0.9182

0.9182

0.9182

110

Tomato mosaic virus

0.8938

0.9182

0.9058

110

Tomato healthy

0.9712

0.9182

0.9439

110

Tomato bacterial spot

Ensemble

1.0000

0.9909

0.9954

110

Tomato early blight

1.0000

1.0000

1.0000

110

Tomato late blight

0.9910

1.0000

0.9955

110

Tomato leaf mold

1.0000

1.0000

1.0000

110

Tomato septoria leaf spot

1.0000

1.0000

1.0000

110

Tomato spider mites two-spotted spider mite

1.0000

1.0000

1.0000

110

Tomato target spot

1.0000

1.0000

1.0000

110

Tomato yellow leaf curl virus

1.0000

1.0000

1.0000

110

Tomato mosaic virus

1.0000

1.0000

1.0000

110

Tomato healthy

1.0000

1.0000

1.0000

110

Overall accuracy

ResNet50

0.9005

0.9000

0.9000

1100

MobileNetV2

0.9191

0.9182

0.9182

1100

Ensemble

0.9991

0.9991

0.9991

1100