A novel lightweight model for tea disease classification based on feature reuse and channel focus attention mechanism
When collecting disease images in tea gardens, the collected images often include complex backgrounds. The complex backgrounds affect the recognition accuracy of traditional deep learning techniques. To improve the recognition accuracy, the traditional classic convolutional neural network (CNN) mode...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098624003264 |
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