TeaDiseaseNet: multi-scale self-attentive tea disease detection
Accurate detection of tea diseases is essential for optimizing tea yield and quality, improving production, and minimizing economic losses. In this paper, we introduce TeaDiseaseNet, a novel disease detection method designed to address the challenges in tea disease detection, such as variability in...
| Главные авторы: | , , , , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Frontiers Media S.A.
2023-10-01
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| Серии: | Frontiers in Plant Science |
| Предметы: | |
| Online-ссылка: | https://www.frontiersin.org/articles/10.3389/fpls.2023.1257212/full |