Recent Advances in Evapotranspiration Estimation Using Artificial Intelligence Approaches with a Focus on Hybridization Techniques—A Review

Recent Advances in Evapotranspiration Estimation Using Artificial Intelligence Approaches with a Focus on Hybridization Techniques—A Review

Difficulties are faced when formulating hydrological processes, including that of evapotranspiration (ET). Conventional empirical methods for formulating these possess some shortcomings. The artificial intelligence approach emerges as the best possible solution to map the relationships between clima...

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Bibliographic Details
Main Authors: Min Yan Chia, Yuk Feng Huang, Chai Hoon Koo, Kit Fai Fung
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Agronomy
Subjects:
hydrological process
hybrid model
data fusion
ensemble modeling
data decomposition
remote sensing
bootstrap aggregating
bayesian modeling
boosting algorithm
nonlinear neural ensemble
Online Access:https://www.mdpi.com/2073-4395/10/1/101

Internet

https://www.mdpi.com/2073-4395/10/1/101

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