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Using Ensembles of Machine Learning Techniques to Predict Reference Evapotranspiration (ET<sub>0</sub>) Using Limited Meteorological Data

To maximize crop production, reference evapotranspiration (ET<sub>0</sub>) measurement is crucial for managing water resources and planning crop water needs. The FAO-PM56 method is recommended globally for estimating ET<sub>0</sub> and evaluating alternative methods due to its extensive theoretical...

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Principais autores: Hamza Salahudin, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam Baig, Muhammad Hammad, Ali Raza, Alamgir Akhtar, Muhammad Usman Ali
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2023-08-01
סדרה:Hydrology
נושאים:
reference evapotranspiration
machine learning techniques
ensemble approach
limited meteorological data
גישה מקוונת:https://www.mdpi.com/2306-5338/10/8/169
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