Table 7 Performance result of Xception for the test dataset (%).

From: Ensemble-based sesame disease detection and classification using deep convolutional neural networks (CNN)

Class

Accuracy

Precision

Recall

F1-Score

Healthy

90.00

93.50

90.00

91.75

Phyllody

90.00

90.00

90.00

90.00

Bacterial Blight

91.67

92.00

91.67

91.83

Overall

92.18

91.50

92.00

91.75