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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| 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 |