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...
| Autori principali: | , , , , , |
|---|---|
| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
Frontiers Media S.A.
2023-10-01
|
| Serie: | Frontiers in Plant Science |
| Soggetti: | |
| Accesso online: | https://www.frontiersin.org/articles/10.3389/fpls.2023.1257212/full |