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Early Detection of Tomato Leaf Diseases Using a Deep Learning Approach. A Field-Based Implementation in Ghana
Universal Journal of Food Security
| Vol 3, Issue 1
Table 4. Class-wise Performance Metrics
| Class | Precision | Recall | F1-score |
| Healthy | 0.98 | 0.97 | 0.98 |
| Bacteria Spot | 0.95 | 0.94 | 0.94 |
| Early Blight | 0.95 | 0.94 | 0.94 |
| Late Blight | 0.96 | 0.95 | 0.95 |
| Leaf Mold | 0.94 | 0.93 | 0.93 |
| Septoria Leaf Spot | 0.95 | 0.94 | 0.94 |
| Spider Mites | 0.93 | 0.92 | 0.92 |
| Target Spot | 0.94 | 0.93 | 0.94 |
| Mosaic Virus | 0.95 | 0.94 | 0.94 |
| Yellow Leaf Curl Virus | 0.96 | 0.95 | 0.95 |