Approaches for the Prediction of Leaf Wetness Duration with Machine Learning

The prediction of leaf wetness duration (LWD) is an issue of interest for disease prevention in coffee plantations, forests, and other crops. This study analyzed different LWD prediction approaches using machine learning and meteorological and temporal variables as the models’ input. The information...

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Detalles Bibliográficos
Autores principales: Solís, Martín, Rojas-Herrera, Vanessa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8161455/
https://www.ncbi.nlm.nih.gov/pubmed/34069181
http://dx.doi.org/10.3390/biomimetics6020029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8161455/
https://www.ncbi.nlm.nih.gov/pubmed/34069181
http://dx.doi.org/10.3390/biomimetics6020029

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