Attribute Selection Impact on Linear and Nonlinear Regression Models for Crop Yield Prediction

Efficient cropping requires yield estimation for each involved crop, where data-driven models are commonly applied. In recent years, some data-driven modeling technique comparisons have been made, looking for the best model to yield prediction. However, attributes are usually selected based on exper...

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Detalles Bibliográficos
Autores principales: Gonzalez-Sanchez, Alberto, Frausto-Solis, Juan, Ojeda-Bustamante, Waldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058283/
https://www.ncbi.nlm.nih.gov/pubmed/24977201
http://dx.doi.org/10.1155/2014/509429

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058283/
https://www.ncbi.nlm.nih.gov/pubmed/24977201
http://dx.doi.org/10.1155/2014/509429

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