Estimation of leaf nitrogen levels in sugarcane using hyperspectral models

Estimation of leaf nitrogen levels in sugarcane using hyperspectral models

ABSTRACT: Sugarcane is a good source of renewable energy and helps reduce the emission of greenhouse gases. Nitrogen has a critical role in plant growth; therefore,estimating nitrogen levels is essential, and remote sensing can improve fertilizer management. This field study selects wavelengths from...

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Bibliographic Details
Main Authors: Pedro Paulo da Silva Barros, Peterson Ricardo Fiorio, José Alexandre de Melo Demattê, Juliano Araújo Martins, Zaqueu Fernando Montezano, Fábio Luis Ferreira Dias
Format: Article
Language:English
Published: Universidade Federal de Santa Maria 2021-11-01
Series:Ciência Rural
Subjects:
remote sensing
Saccharumspp
nitrogen fertilization
reflectance
sPLS
regression model
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782022000700351&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782022000700351&tlng=en

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