Research Article
The Streamlined Study of Convolutional Neural Network for Wheat Growth Process Monitoring
Table 3
Comparative results of accuracy before and after knowledge distillation.
| | Growth stage category | VGG16 | ResNet50 | | Before distillation (%) | After distillation (%) | Before distillation (%) | After distillation (%) |
| | Emergence-tillering stage | 95.6 | 96.1 | 96.8 | 98.3 | | Tillering-overwintering stage | 95.1 | 95.9 | 96.4 | 97.1 | | Overwintering-greening stage | 91.2 | 92.1 | 93.1 | 94.8 | | Greening-jointing stage | 90.3 | 91.9 | 92.2 | 93.1 | | Jointing-heading stage | 95.4 | 96.4 | 96.3 | 97.3 | | Average accuracy | 93.5 | 94.8 | 94.9 | 96.1 |
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