A deep learning model for rapid classification of tea coal disease

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-intensive...

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Detalles Bibliográficos
Autores principales: Xu, Yang, Mao, Yilin, Li, He, Sun, Litao, Wang, Shuangshuang, Li, Xiaojiang, Shen, Jiazhi, Yin, Xinyue, Fan, Kai, Ding, Zhaotang, Wang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492339/
https://www.ncbi.nlm.nih.gov/pubmed/37689676
http://dx.doi.org/10.1186/s13007-023-01074-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492339/
https://www.ncbi.nlm.nih.gov/pubmed/37689676
http://dx.doi.org/10.1186/s13007-023-01074-2

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