Support vector machine enhanced empirical reference evapotranspiration estimation with limited meteorological parameters

MY Chia, YF Huang, CH Koo - Computers and Electronics in Agriculture, 2020 - Elsevier
In regions where economies that are highly dependent on agricultural activities, estimation
of evapotranspiration is vital for scheduling and managing the water resources. In this study …

Modeling reference evapotranspiration using three different heuristic regression approaches

O Kisi - Agricultural Water Management, 2016 - Elsevier
Modeling reference evapotranspiration (ET 0) is important in reservoir management,
planning regional water resources and evaluation of drinking-water supplies. The study …

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 …

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) …

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 …

Empirical and learning machine approaches to estimating reference evapotranspiration based on temperature data

MM Reis, AJ da Silva, JZ Junior, LDT Santos… - … and electronics in …, 2019 - Elsevier
The precise estimation of reference evapotranspiration (ET 0) is crucial for the planning and
management of water resources and agricultural production. In this study, the applicability of …

Prediction of daily crop reference evapotranspiration (ET0) values through a least-squares support vector machine model

X Guo, X Sun, J Ma - Hydrology Research, 2011 - iwaponline.com
Real-time prediction of daily reference crop evapotranspiration (ET0) is the basis for
estimating crop evapotranspiration and for computing crop irrigation requirements. In recent …

Support-vector-machine-based models for modeling daily reference evapotranspiration with limited climatic data in extreme arid regions

X Wen, J Si, Z He, J Wu, H Shao, H Yu - Water resources management, 2015 - Springer
Evapotranspiration is a major factor that controls hydrological process and its accurate
estimation provides valuable information for water resources planning and management …

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 …

Investigating the roles of different extracted parameters from satellite images in improving the accuracy of daily reference evapotranspiration estimation

H Talebi, S Samadianfard, KV Kamran - Applied Water Science, 2023 - Springer
Agricultural water management, crop modeling, and irrigation scheduling are all dependent
on the accurate estimation of reference evapotranspiration (ET0). A satellite image can also …