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...

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Bibliografiske detaljer
Main Authors: Yange Sun, Fei Wu, Huaping Guo, Ran Li, Jianfeng Yao, Jianbo Shen
Format: Article
Sprog:English
Udgivet: Frontiers Media S.A. 2023-10-01
Serier:Frontiers in Plant Science
Fag:
Online adgang:https://www.frontiersin.org/articles/10.3389/fpls.2023.1257212/full