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...
| 主要な著者: | , , , , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Frontiers Media S.A.
2023-10-01
|
| シリーズ: | Frontiers in Plant Science |
| 主題: | |
| オンライン･アクセス: | https://www.frontiersin.org/articles/10.3389/fpls.2023.1257212/full |