A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives

P Goyal, S Kumar, R Sharda - Computers and Electronics in Agriculture, 2023 - Elsevier
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 …

A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models

MM Alam, MY Akter, ARMT Islam, J Mallick… - Journal of …, 2024 - Elsevier
Evapotranspiration (ETo) is a complex and non-linear hydrological process with a significant
impact on efficient water resource planning and long-term management. The Penman …

Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM–A new approach

LB Ferreira, FF da Cunha, RA de Oliveira… - Journal of …, 2019 - Elsevier
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 …

Using MARS, SVM, GEP and empirical equations for estimation of monthly mean reference evapotranspiration

S Mehdizadeh, J Behmanesh, K Khalili - Computers and electronics in …, 2017 - Elsevier
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 …

Crop evapotranspiration prediction by considering dynamic change of crop coefficient and the precipitation effect in back-propagation neural network model

X Han, Z Wei, B Zhang, Y Li, T Du, H Chen - Journal of hydrology, 2021 - Elsevier
Accurate prediction of crop evapotranspiration (ET c) can provide a scientific basis for
improving water use efficiency, rational allocation of water resources, and sustainable …

Evapotranspiration estimation using four different machine learning approaches in different terrestrial ecosystems

X Dou, Y Yang - Computers and Electronics in Agriculture, 2018 - Elsevier
Elucidating the biophysical mechanisms governing the exchange of water vapor between
land and the atmosphere is particularly crucial for addressing water scarcity under climate …

Artificial neural networks versus gene expression programming for estimating reference evapotranspiration in arid climate

MA Yassin, AA Alazba, MA Mattar - Agricultural Water Management, 2016 - Elsevier
Artificial neural networks (ANNs) and gene expression programming (GEP) were compared
to estimate daily reference evapotranspiration (ET ref) under arid conditions. The daily …

Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran

J Shiri, AH Nazemi, AA Sadraddini, G Landeras… - … and Electronics in …, 2014 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) values is of crucial importance in
hydrology, agriculture and agro-meteorology issues. The present study reports a …