The use of computer vision to classify Xaraés grass according to nutritional status in nitrogen

The use of computer vision to classify Xaraés grass according to nutritional status in nitrogen

ABSTRACT This study is based on the principle that vegetation indexes (VIs), derived from the RGB color model obtained from digital images, can be used to characterize spectral signatures and classify Brachiaria brizantha cv. Xaraés according to nitrogen status (N). From colorimetric data obtained f...

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Bibliographic Details
Main Authors: Wellington Renato Mancin, Lilian Elgalise Techio Pereira, Rachel Santos Bueno Carvalho, Yeyin Shi, Wilson Manuel Castro Silupu, Adriano Rogério Bruno Tech
Format: Article
Language:English
Published: Universidade Federal do Ceará 2021-11-01
Series:Revista Ciência Agronômica
Subjects:
Image processing
Remote sensing
HSB
Spectral signature
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100406&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100406&tlng=en

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