Area estimation of soybean leaves of different shapes with artificial neural networks

Area estimation of soybean leaves of different shapes with artificial neural networks

Leaf area is one of the most commonly used physiological parameters in plant growth analysis because it facilitates the interpretation of factors associated with yield. The different leaf formats related to soybean genotypes can influence the quality of the model fit for the estimation of leaf area...

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Bibliographic Details
Main Authors: Ludimila Geiciane de Sá, Carlos Juliano Brant Albuquerque, Nermy Ribeiro Valadares, Orlando Gonçalves Brito, Amara Nunes Mota, Ana Clara Gonçalves Fernandes, Alcinei Mistico Azevedo
Format: Article
Language:English
Published: Eduem (Editora da Universidade Estadual de Maringá) 2022-05-01
Series:Acta Scientiarum: Agronomy
Subjects:
Glycine max; multilayer perceptrons; computational intelligence.
Online Access:https://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/54787

Internet

https://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/54787

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