Early detection of black Sigatoka in banana leaves using hyperspectral images

PREMISE: Black Sigatoka is one of the most severe banana (Musa spp.) diseases worldwide, but no methods for the rapid early detection of this disease have been reported. This paper assesses the use of hyperspectral images for the development of a partial‐least‐squares penalized‐logistic‐regression (...

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Detalles Bibliográficos
Autores principales: Ugarte Fajardo, Jorge, Bayona Andrade, Oswaldo, Criollo Bonilla, Ronald, Cevallos‐Cevallos, Juan, Mariduena‐Zavala, María, Ochoa Donoso, Daniel, Vicente Villardón, José Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Application Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507400/
https://www.ncbi.nlm.nih.gov/pubmed/32995103
http://dx.doi.org/10.1002/aps3.11383

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507400/
https://www.ncbi.nlm.nih.gov/pubmed/32995103
http://dx.doi.org/10.1002/aps3.11383

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