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 …

Estimation of daily reference evapotranspiration (ETo) using artificial intelligence methods: Offering a new approach for lagged ETo data-based modeling

S Mehdizadeh - Journal of hydrology, 2018 - Elsevier
Evapotranspiration (ET) is considered as a key factor in hydrological and climatological
studies, agricultural water management, irrigation scheduling, etc. It can be directly …

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 …

[HTML][HTML] Comparative analysis of kernel-based versus ANN and deep learning methods in monthly reference evapotranspiration estimation

MT Sattari, H Apaydin, SS Band… - Hydrology and Earth …, 2021 - hess.copernicus.org
Timely and accurate estimation of reference evapotranspiration (ET 0) is indispensable for
agricultural water management for efficient water use. This study aims to estimate the …

Comparative assessment of reference evapotranspiration estimation using conventional method and machine learning algorithms in four climatic regions

A Raza, M Shoaib, MA Faiz, F Baig, MM Khan… - Pure and Applied …, 2020 - Springer
Reference evapotranspiration (ET o) is considered as an essential component in
hydrological and agro meteorological processes. Its accurate estimation becomes an …

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 …

Development of boosted machine learning models for estimating daily reference evapotranspiration and comparison with empirical approaches

S Mehdizadeh, B Mohammadi, QB Pham, Z Duan - Water, 2021 - mdpi.com
Proper irrigation scheduling and agricultural water management require a precise
estimation of crop water requirement. In practice, reference evapotranspiration (ETo) is firstly …

Evaluation of FAO56-PM, empirical, semi-empirical and gene expression programming approaches for estimating daily reference evapotranspiration in hyper-arid …

J Shiri - Agricultural water management, 2017 - Elsevier
Accurate estimation of the reference evapotranspiration (ET o) is needed in water resources
planning and management, irrigation scheduling and efficient agricultural water …

Evaluating of eight evapotranspiration estimation methods in arid regions of Iran

Z Shirmohammadi-Aliakbarkhani… - Agricultural Water …, 2020 - Elsevier
Evapotranspiration (ET) plays an important role in efficient irrigation and water resources
management. ET can be accurately estimated via the FAO–Penman–Monteith method (ET …

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) …