Research Article
Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection
Table 5
Recall, precision, and F1-score using parameter-tuning.
| Model | Recall | Precision | F1-score | Laboratory | Field | Laboratory | Field | Laboratory | Field |
| VGG-16 | 0.991 | 0.792 | 0.99 | 0.758 | 0.99 | 0.776 | VGG-19 | 0.991 | 0.847 | 0.989 | 0.811 | 0.989 | 0.828 | ResNet | 0.995 | 0.883 | 0.994 | 0.841 | 0.994 | 0.861 | Inception V3 | 0.996 | 0.906 | 0.996 | 0.845 | 0.995 | 0.876 |
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