Table 4 Comparative analysis of our approach with the base models.
From: A robust deep learning approach for tomato plant leaf disease localization and classification
Model | Precision (%) | Recall (%) | F1-score (%) | Accuracy (%) |
|---|---|---|---|---|
GoogleNet | 87.16 | 87.09 | 87.12 | 87.27 |
ResNet-101 | 89.95 | 90.13 | 90.04 | 90.13 |
Xception | 88.25 | 88.14 | 88.19 | 88.16 |
VGG-19 | 90.39 | 90.47 | 92.43 | 90.42 |
SE-ResNet50 | 96.77 | 96.81 | 96.79 | 96.81 |
Proposed | 99.48 | 99.38 | 99.42 | 99.97 |
