Deep Machine Learning for Forecasting Daily Potential Evapotranspiration in Arid Regions, Case: Atacama Desert Header

Accurately estimating and forecasting evapotranspiration is one of the most important tasks to strengthen water resource management, especially in desert areas such as La Yarada, Tacna, Peru, a region located at the head of the Atacama Desert. In this study, we used temperature, humidity, wind speed...

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Bibliografski detalji

Glavni autori:	Edwin Pino-Vargas, Edgar Taya-Acosta, Eusebio Ingol-Blanco, Alfonso Torres-Rúa
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2022-11-01
Serija:	Agriculture
Teme:	evapotranspiration forecasting machine learning deep learning arid zones
Online pristup:	https://www.mdpi.com/2077-0472/12/12/1971
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