A deep learning model for rapid classification of tea coal disease

A deep learning model for rapid classification of tea coal disease

Abstract Background The common tea tree disease known as “tea coal disease” (Neocapnodium theae Hara) can have a negative impact on tea yield and quality. The majority of conventional approaches for identifying tea coal disease rely on observation with the human naked eye, which is labor- and time-i...

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Bibliographic Details
Main Authors: Yang Xu, Yilin Mao, He Li, Litao Sun, Shuangshuang Wang, Xiaojiang Li, Jiazhi Shen, Xinyue Yin, Kai Fan, Zhaotang Ding, Yu Wang
Format: Article
Language:English
Published: BMC 2023-09-01
Series:Plant Methods
Subjects:
Tea coal disease
RGB
Hyperspectral
Machine learning
Deep learning
Classification
Online Access:https://doi.org/10.1186/s13007-023-01074-2

Internet

https://doi.org/10.1186/s13007-023-01074-2

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