Development of a temperature-based model using machine learning algorithms for the projection of evapotranspiration of peninsular Malaysia

Development of a temperature-based model using machine learning algorithms for the projection of evapotranspiration of peninsular Malaysia

Reliable projections of evapotranspiration (ET) are important for agricultural and water resources development, planning, and management. However, ET projections using well established empirical models suffer from uncertainty due to their dependency on many climatic variables. This study aimed to de...

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Bibliographic Details
Main Authors: Muhammad, Mohd. Khairul Idlan, Shahid, Shamsuddin, Hamed, Mohammed Magdy, Harun, Sobri, Ismail, Tarmizi, Wang, Xiaojun
Format: Article
Language:English
Published: MDPI 2022
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/104706/1/MohdKhairulIdlan2022_DevelopmentofaTemperature-BasedModel.pdf

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