Non-Destructive Detection of Tea Leaf Chlorophyll Content Using Hyperspectral Reflectance and Machine Learning Algorithms

Tea trees are kept in shaded locations to increase their chlorophyll content, which influences green tea quality. Therefore, monitoring change in chlorophyll content under low light conditions is important for managing tea trees and producing high-quality green tea. Hyperspectral remote sensing is o...

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Detalles Bibliográficos
Autores principales: Sonobe, Rei, Hirono, Yuhei, Oi, Ayako
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154821/
https://www.ncbi.nlm.nih.gov/pubmed/32192044
http://dx.doi.org/10.3390/plants9030368

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154821/
https://www.ncbi.nlm.nih.gov/pubmed/32192044
http://dx.doi.org/10.3390/plants9030368

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