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 …

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) …

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 …

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 …

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 …

Support vector regression model optimized with GWO versus GA algorithms: Estimating daily pan-evaporation

A Malik, Y Tikhamarine, D Souag-Gamane… - Handbook of …, 2023 - Elsevier
Ensuring accurate estimation of evaporation is vital for suitable planning and efficient
utilization of water resources, especially in arid and semiarid regions. Thus, the purpose of …

Estimation of reference crop evapotranspiration with three different machine learning models and limited meteorological variables

SLS Yong, JL Ng, YF Huang, CK Ang - Agronomy, 2023 - mdpi.com
Precise reference crop evapotranspiration (ET0) estimation plays a key role in agricultural
fields as it aids in the proper operation and management of irrigation scheduling. However …

Examination of Single-and Hybrid-Based Metaheuristic Algorithms in ANN Reference Evapotranspiration Estimating

HE Khairan, SL Zubaidi, SF Raza, M Hameed… - Sustainability, 2023 - mdpi.com
Hydrological resource management, including crop watering and irrigation scheduling,
relies on reliable estimates of reference evapotranspiration (ETo). However, previous …

Advanced hybrid metaheuristic machine learning models application for reference crop evapotranspiration prediction

RMA Ikram, RR Mostafa, Z Chen, ARMT Islam, O Kisi… - Agronomy, 2022 - mdpi.com
Hybrid metaheuristic algorithm (MA), an advanced tool in the artificial intelligence field,
provides precise reference evapotranspiration (ETo) prediction that is highly important for …

Performance evaluation of five machine learning algorithms for estimating reference evapotranspiration in an arid climate

A Raza, R Fahmeed, NR Syed, OM Katipoğlu, M Zubair… - Water, 2023 - mdpi.com
The Food and Agriculture Organization recommends that the Penman–Monteith Method
contains Equation 56 (PMF) as a widely accepted standard for reference evapotranspiration …