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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 3. Performance Summary of the CNN–VGG16 Model
| Metric | Value | Epoch |
| Best validation Accuracy | 96.8% | 16 |
| Final Training Accuracy | 95.23% | 20 |
| Final Validation Accuracy | 94.30% | 20 |
| Final Validation Loss | 0.1834 | 20 |