<b>Estimating soybean yields with artificial neural networks

<b>Estimating soybean yields with artificial neural networks

The complexity of the statistical models used to estimate the productivity of many crops, including soybeans, restricts the use of this practice, but an alternative is the use of artificial neural networks (ANNs). This study aimed to estimate soybean productivity based on growth habit, sowing densit...

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Bibliographic Details
Main Authors: Guiliano Rangel Alves, Itamar Rosa Teixeira, Francisco Ramos Melo, Raniele Tadeu Guimarães Souza, Alessandro Guerra Silva
Format: Article
Language:English
Published: Eduem (Editora da Universidade Estadual de Maringá) 2018-03-01
Series:Acta Scientiarum: Agronomy
Subjects:
Glycine max (L.) Merrill
agronomic characteristics
modeling
MLP
perceptron.
Online Access:http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/35250

Internet

http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/35250

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