Comparison of mapping soybean areas in Brazil through perceptron neural networks and vegetation indices

Carlos Antonio da Silva Junior; Marcos Rafael Nanni; Paulo Eduardo Teodoro; Guilherme Fernando Capristo Silva; Mendelson Guerreiro de Lima; Marta Eri

doi:10.5897/AJAR2016.11572

African Journal of
Agricultural Research

Abbreviation: Afr. J. Agric. Res.
Language: English
ISSN: 1991-637X
DOI: 10.5897/AJAR
Start Year: 2006
Published Articles: 6863

Full Length Research Paper

Comparison of mapping soybean areas in Brazil through perceptron neural networks and vegetation indices

Carlos Antonio da Silva Junior

Carlos Antonio da Silva Junior
Geotechnology Applied in Agriculture and Forest (GAAF), State University of Mato Grosso (UNEMAT), Alta Floresta, Mato Grosso, Brazil.
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Marcos Rafael Nanni

Marcos Rafael Nanni
Federal University of ViÃ§osa (UFV), ViÃ§osa, Minas Gerais, Brazil.
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Paulo Eduardo Teodoro

Paulo Eduardo Teodoro
Department of Agronomy (DAG), State University of MaringÃ¡ (UEM), MaringÃ¡, ParanÃ¡, Brazil.
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Guilherme Fernando Capristo Silva

Guilherme Fernando Capristo Silva
Federal University of ViÃ§osa (UFV), ViÃ§osa, Minas Gerais, Brazil.
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Mendelson Guerreiro de Lima

Mendelson Guerreiro de Lima
Geotechnology Applied in Agriculture and Forest (GAAF), State University of Mato Grosso (UNEMAT), Alta Floresta, Mato Grosso, Brazil.
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Marta Eri

Marta Eri
University of East Anglia (UEA), Norwich, United Kingdom.
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Article Number - 976D72361428
Vol.11(43), pp. 4413-4424 , October 2016
https://doi.org/10.5897/AJAR2016.11572

Received: 17 August 2016
Accepted: 11 October 2016
Published: 27 October 2016

Copyright © 2024 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0.

Authors

Carlos Antonio da Silva Junior
Geotechnology Applied in Agriculture and Forest (GAAF), State University of Mato Grosso (UNEMAT), Alta Floresta, Mato Grosso, Brazil.

Marcos Rafael Nanni
Federal University of ViÃ§osa (UFV), ViÃ§osa, Minas Gerais, Brazil.

Paulo Eduardo Teodoro
Department of Agronomy (DAG), State University of MaringÃ¡ (UEM), MaringÃ¡, ParanÃ¡, Brazil.

Guilherme Fernando Capristo Silva
Federal University of ViÃ§osa (UFV), ViÃ§osa, Minas Gerais, Brazil.

Mendelson Guerreiro de Lima
Geotechnology Applied in Agriculture and Forest (GAAF), State University of Mato Grosso (UNEMAT), Alta Floresta, Mato Grosso, Brazil.

Marta Eri
University of East Anglia (UEA), Norwich, United Kingdom.

Corresponding Author Email: [email protected]

This article is published under the terms of the Creative Commons Attribution License 4.0

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