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

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<sub>max</sub>; average, T<sub>ave</sub>; and minimum, T<sub>min</sub>) and its hourly estimation (T<sub>0h</sub>, …, T<sub>23h</sub>) using artificial...

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Bibliographic Details
Main Authors: Francisco J. Diez, Adriana Correa-Guimaraes, Leticia Chico-Santamarta, Andrés Martínez-Rodríguez, Diana A. Murcia-Velasco, Renato Andara, Luis M. Navas-Gracia
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
ambient temperature
evapotranspiration
agrometeorology
artificial neural networks (ANNs)
precision agriculture
prediction
Online Access:https://www.mdpi.com/1424-8220/22/13/4850

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