Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in an Agrometeorological Station in Castile and León, Spain

This study evaluates the predictive modeling of the daily ambient temperature (maximum, T(max); average, T(ave); and minimum, T(min)) and its hourly estimation (T(0h), …, T(23h)) using artificial neural networks (ANNs) for agricultural applications. The data, 2004–2010, were used for training and 20...

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Detalles Bibliográficos
Autores principales: Diez, Francisco J., Correa-Guimaraes, Adriana, Chico-Santamarta, Leticia, Martínez-Rodríguez, Andrés, Murcia-Velasco, Diana A., Andara, Renato, Navas-Gracia, Luis M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269140/
https://www.ncbi.nlm.nih.gov/pubmed/35808346
http://dx.doi.org/10.3390/s22134850

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269140/
https://www.ncbi.nlm.nih.gov/pubmed/35808346
http://dx.doi.org/10.3390/s22134850

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