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A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives
Reference Evapotranspiration (ET o) is a complex, dynamic and non-linear hydrological
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
[HTML][HTML] 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 …
evapotranspiration (ET). Conventional empirical methods for formulating these possess …
Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm
In achieving water resource management goals such as irrigation scheduling, an accurate
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …
Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods
To evaluate the performance of deep learning methods (DL) for reference
evapotranspiration estimation and to assess the applicability of the developed DL models …
evapotranspiration estimation and to assess the applicability of the developed DL models …
Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM–A new approach
Reference evapotranspiration (ET o) is a variable of great importance for several purposes,
such as hydrological studies and irrigation scheduling. The FAO-56 Penman-Monteith (FAO …
such as hydrological studies and irrigation scheduling. The FAO-56 Penman-Monteith (FAO …
CatBoost: A new approach for estimating daily reference crop evapotranspiration in arid and semi-arid regions of Northern China
Establishing a computational model for accurate prediction of reference crop
evapotranspiration (ET 0) is critical for regional water resources planning and irrigation …
evapotranspiration (ET 0) is critical for regional water resources planning and irrigation …
Modeling monthly reference evapotranspiration process in Turkey: application of machine learning methods
In this study, the predictive power of three different machine learning (ML)-based
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …
Using MARS, SVM, GEP and empirical equations for estimation of monthly mean reference evapotranspiration
Evapotranspiration is one of the most important components of hydrologic cycle for optimal
management of water resources, especially in arid and semi-arid regions such as Iran. The …
management of water resources, especially in arid and semi-arid regions such as Iran. The …
[HTML][HTML] Alp-valley and elevation effects on the reference evapotranspiration and the dominant climate controls in Red River Basin, China: Insights from geographical …
Complicated topography can drastically affect the geographical distribution of evaporation,
runoff production, water cycle, and water security guarantee. However, whether the …
runoff production, water cycle, and water security guarantee. However, whether the …
Reference evapotranspiration prediction using hybridized fuzzy model with firefly algorithm: Regional case study in Burkina Faso
Abstract Reference Evapotranspiration (ETo) is one of the major components of the
hydrological cycle that is very essential in water resources planning, irrigation and drainage …
hydrological cycle that is very essential in water resources planning, irrigation and drainage …