Dissection of hyperspectral reflectance to estimate nitrogen and chlorophyll contents in tea leaves based on machine learning algorithms

Nondestructive techniques for estimating nitrogen (N) status are essential tools for optimizing N fertilization input and reducing the environmental impact of agricultural N management, especially in green tea cultivation, which is notably problematic. Previously, hyperspectral indices for chlorophy...

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Detalles Bibliográficos
Autores principales: Yamashita, Hiroto, Sonobe, Rei, Hirono, Yuhei, Morita, Akio, Ikka, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566634/
https://www.ncbi.nlm.nih.gov/pubmed/33060629
http://dx.doi.org/10.1038/s41598-020-73745-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566634/
https://www.ncbi.nlm.nih.gov/pubmed/33060629
http://dx.doi.org/10.1038/s41598-020-73745-2

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