Research Article
An Improved Crop Disease Identification Method Based on Lightweight Convolutional Neural Network
Table 4
Comparison between different models.
| Model | Training accuracy (%) | Validation accuracy (%) | Test accuracy (%) |
| VGG-19 | 92.4 | 89.9 | 87.8 | AlexNet | 86.5 | 85.8 | 82.6 | ResNet-50 | 88.6 | 86.8 | 83.2 | Tiny_Xception | 96.3 | 95.7 | 94.3 |
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