A deep learning model based on RGB and hyperspectral images for efficiently detecting tea green leafhopper damage symptoms
The tea green leafhopper, also known as ''Empoasca onukii Matsuda,'' is a common pest of tea plants that can cause significant economic losses when its damage becomes severe. However, traditional methods of recognizing and classifying the damage symptoms of this pest rely on huma...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375525000516 |
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