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Determination of the quantitative content of chlorophylls in leaves by reflection spectra using the random forest algorithm

Determining the quantitative content of chlorophylls in plant leaves by their reflection spectra is an important task both in monitoring the state of natural and industrial phytocenoses, and in laboratory studies of normal and pathological processes during plant growth. The use of machine learning m...

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Detalles Bibliográficos
Autores principales:	Urbanovich, E.A., Afonnikov, D.A., Nikolaev, >S.V.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences 2021
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629362/ https://www.ncbi.nlm.nih.gov/pubmed/34901704 http://dx.doi.org/10.18699/VJ21.008

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