Monthly evapotranspiration estimation using optimal climatic parameters: efficacy of hybrid support vector regression integrated with whale optimization algorithm

Y Tikhamarine, A Malik, K Pandey, SS Sammen… - Environmental …, 2020 - Springer
For effective planning of irrigation scheduling, water budgeting, crop simulation, and water
resources management, the accurate estimation of reference evapotranspiration (ET o) is …

Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm

B Mohammadi, S Mehdizadeh - Agricultural Water Management, 2020 - Elsevier
In achieving water resource management goals such as irrigation scheduling, an accurate
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …

Enhanced daily reference evapotranspiration estimation using optimized hybrid support vector regression models

SLS Yong, JL Ng, YF Huang, CK Ang… - Water Resources …, 2024 - Springer
Accurate estimation of reference evapotranspiration (ET0) is a crucial parameter in
implementing precise irrigation strategies and managing regional water resources …

Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration

Y Tikhamarine, A Malik, D Souag-Gamane… - … Science and Pollution …, 2020 - Springer
Accurate estimation of reference evapotranspiration (ET o) is profoundly crucial in crop
modeling, sustainable management, hydrological water simulation, and irrigation …

A novel hybrid AIG-SVR model for estimating daily reference evapotranspiration

E Mirzania, DK Vishwakarma, QAT Bui… - Arabian Journal of …, 2023 - Springer
Reference evapotranspiration (ETo) simulation is of great importance for various procedures
of the hydrological cycle, irrigation, agronomic management, and planning and …

Estimation of actual evapotranspiration: A novel hybrid method based on remote sensing and artificial intelligence

F Hadadi, R Moazenzadeh, B Mohammadi - Journal of Hydrology, 2022 - Elsevier
Actual evapotranspiration (AET) is one of the decisive factors controlling the water balance
at the catchment level, particularly in arid and semi-arid regions, but measured data for …

Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches

Y Tikhamarine, A Malik, A Kumar… - Hydrological sciences …, 2019 - Taylor & Francis
In this research, five hybrid novel machine learning approaches, artificial neural network
(ANN)-embedded grey wolf optimizer (ANN-GWO), multi-verse optimizer (ANN-MVO) …

Evaluation of machine learning versus empirical models for monthly reference evapotranspiration estimation in Uttar Pradesh and Uttarakhand States, India

P Rai, P Kumar, N Al-Ansari, A Malik - Sustainability, 2022 - mdpi.com
Reference evapotranspiration (ETo) plays an important role in agriculture applications such
as irrigation scheduling, crop simulation, water budgeting, and reservoir operations …

Hybrid the long short-term memory with whale optimization algorithm and variational mode decomposition for monthly evapotranspiration estimation

T Fu, X Li - Scientific Reports, 2022 - nature.com
The sustainability of artificial sand-binding vegetation is determined by the water balance
between evapotranspiration (ET) and precipitation in desert regions. Consequently …

Reference evapotranspiration estimating based on optimal input combination and hybrid artificial intelligent model: Hybridization of artificial neural network with grey …

S Maroufpoor, O Bozorg-Haddad, E Maroufpoor - Journal of Hydrology, 2020 - Elsevier
Reference Evapotranspiration (ET o) is one of the key components of the hydrological cycle
that is effective in water resources planning, irrigation and agricultural management and …