Research Article
Research on Strawberry Disease Diagnosis Based on Improved Residual Network Recognition Model
Table 1
Accuracy, recall, and F1 score of each model.
| Model | Precision (%) | Recall (%) | F1 score | hea | p-m | ant | l-s | hea | p-m | ant | l-s | hea | p-m | ant | l-s |
| G-ResNet50 | 99.5 | 98.6 | 99.2 | 97.7 | 100 | 97.5 | 99.5 | 98.4 | 99.8 | 98.1 | 99.4 | 98.1 | InceptionV3 | 99.6 | 95.8 | 98.4 | 96.5 | 98.7 | 96.6 | 99.0 | 95.6 | 99.1 | 96.2 | 98.7 | 96.1 | ResNet50 | 99.5 | 96.4 | 98.7 | 97.2 | 99.1 | 97.3 | 99.2 | 96.1 | 99.3 | 96.9 | 99.0 | 96.6 | MobileNetV2 | 97.3 | 96.0 | 97.7 | 93.1 | 97.8 | 92.2 | 98.5 | 96.1 | 97.6 | 94.1 | 98.1 | 94.6 | VGG16 | 97.0 | 97.8 | 98.7 | 92.2 | 99.1 | 91.5 | 98.7 | 97.2 | 98.0 | 94.6 | 98.7 | 94.6 |
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