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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Bibliographic Details
Main Authors: Yange Sun, Fei Wu, Huaping Guo, Ran Li, Jianfeng Yao, Jianbo Shen
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1257212/full