Portfolio optimization for seed selection in diverse weather scenarios

The aim of this work was to develop a method for selection of optimal soybean varieties for the American Midwest using data analytics. We extracted the knowledge about 174 varieties from the dataset, which contained information about weather, soil, yield and regional statistical parameters. Next, we...

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Detalles Bibliográficos
Autores principales: Marko, Oskar, Brdar, Sanja, Panić, Marko, Šašić, Isidora, Despotović, Danica, Knežević, Milivoje, Crnojević, Vladimir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580993/
https://www.ncbi.nlm.nih.gov/pubmed/28863173
http://dx.doi.org/10.1371/journal.pone.0184198

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580993/
https://www.ncbi.nlm.nih.gov/pubmed/28863173
http://dx.doi.org/10.1371/journal.pone.0184198

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