Tea bud detection in natural environments based on YOLOv11n-WELA
Aiming at the issue of reduced detection precision in models resulted from the small target size, dense growth, and high color similarity to mature leaves of tea buds, along with computational constraints and storage bottlenecks for the deployment of deep models on the mobile platform, this study pr...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2026-03-01
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| Col·lecció: | Smart Agricultural Technology |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2772375526000882 |
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