Modeling risk of Sclerotinia sclerotiorum-induced disease development on canola and dry bean using machine learning algorithms

Diseases caused by the fungus Sclerotinia sclerotiorum are managed mainly through fungicide applications in canola and dry bean. Accurate estimation of the risk of disease development on these crops could help farmers make spraying decisions. Five machine learning (ML) models were evaluated in class...

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Detalles Bibliográficos
Autores principales: Shahoveisi, F., Riahi Manesh, M., del Río Mendoza, L. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764076/
https://www.ncbi.nlm.nih.gov/pubmed/35039560
http://dx.doi.org/10.1038/s41598-021-04743-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764076/
https://www.ncbi.nlm.nih.gov/pubmed/35039560
http://dx.doi.org/10.1038/s41598-021-04743-1

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