<b>Regression models for prediction of corn yield in the state of Paraná (Brazil) from 2012 to 2014

This study aimed to identify areas that showed spatial autocorrelation for corn yield and its predictive variables (i.e., average air temperature, rainfall, solar radiation, soil agricultural potential and altitude) and to determine the most appropriate spatial regression model to explain this cultu...

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Bibliographic Details
Main Authors: Rodolfo Seffrin, Everton Coimbra De Araújo, Claudio Leones Bazzi
Format: Article
Language:English
Published: Eduem (Editora da Universidade Estadual de Maringá) 2018-03-01
Series:Acta Scientiarum: Agronomy
Subjects:
Online Access:http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/36494

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