Recent Advances in Evapotranspiration Estimation Using Artificial Intelligence Approaches with a Focus on Hybridization Techniques—A Review

Drought forecasting: A review of modelling approaches 2007–2017

(2019) K. F. Fung et al.   Journal of Water and Climate Change

A Bayesian modelling approach to forecasting short-term reference crop evapotranspiration from GCM outputs

(2019) Tongtiegang Zhao et al.   AGRICULTURAL AND FOREST METEOROLOGY

Evapotranspiration evaluation models based on machine learning algorithms—A comparative study

(2019) Francesco Granata   AGRICULTURAL WATER MANAGEMENT

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

(2019) Lucas Borges Ferreira et al.   JOURNAL OF HYDROLOGY

The hydrologist’s guide to Bayesian model selection, averaging and combination

(2019) M. Höge et al.   JOURNAL OF HYDROLOGY

Data splitting strategies for improving data driven models for reference evapotranspiration estimation among similar stations

(2019) Jalal Shiri et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Evaluation of ten machine learning methods for estimating terrestrial evapotranspiration from remote sensing

(2019) Corinne Carter et al.   International Journal of Applied Earth Observation and Geoinformation

Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions

(2019) Guomin Huang et al.   JOURNAL OF HYDROLOGY

A Hybrid Data-Driven Machine Learning Technique for Evapotranspiration Modeling in Various Climates

(2019) Mohammad Valipour et al.   Atmosphere

Daily evapotranspiration prediction using gradient boost regression model for irrigation planning

(2019) Abraham Sudharson Ponraj et al.   JOURNAL OF SUPERCOMPUTING

Evaluation of artificial neural network and Penman–Monteith equation for the prediction of barley standard evapotranspiration in a semi-arid region

(2019) Masoumeh Hashemi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data

(2019) Junliang Fan et al.   AGRICULTURAL WATER MANAGEMENT

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

(2019) Matheus Mendes Reis et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Multi-station artificial intelligence based ensemble modeling of reference evapotranspiration using pan evaporation measurements

(2019) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data

(2019) Sevim Seda Yamaç et al.   AGRICULTURAL WATER MANAGEMENT

Evolutionary algorithm for reference evapotranspiration analysis

(2018) Srdjan Jovic et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

(2018) Xianming Dou et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimating wheat and maize daily evapotranspiration using artificial neural network

(2018) Nazanin Abrishami et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Comparison of SVM, ANFIS and GEP in modeling monthly potential evapotranspiration in an arid region (Case study: Sistan and Baluchestan Province, Iran)

(2018) Omolbani Mohammadrezapour et al.   Water Science and Technology-Water Supply

Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks

(2018) Ozgur Kisi et al.   AGRICULTURAL AND FOREST METEOROLOGY

Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China

(2018) Junliang Fan et al.   AGRICULTURAL AND FOREST METEOROLOGY

Accessible remote sensing data based reference evapotranspiration estimation modelling

(2018) Zixiong Zhang et al.   AGRICULTURAL WATER MANAGEMENT

Application of support vector machine models for forecasting solar and wind energy resources: A review

(2018) Alireza Zendehboudi et al.   JOURNAL OF CLEANER PRODUCTION

Estimation of daily evapotranspiration and irrigation water efficiency at a Landsat-like scale for an arid irrigation area using multi-source remote sensing data

(2018) Yanfei Ma et al.   REMOTE SENSING OF ENVIRONMENT

The evapotranspiration process in green roofs: A review

(2018) Stefano Cascone et al.   BUILDING AND ENVIRONMENT

Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning

(2018) Mandeep Kaur Saggi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Evapotranspiration estimates derived using thermal-based satellite remote sensing and data fusion for irrigation management in California vineyards

(2018) Kyle R. Knipper et al.   IRRIGATION SCIENCE

Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method

(2017) Yunjun Yao et al.   JOURNAL OF HYDROLOGY

Regional fuzzy chain model for evapotranspiration estimation

(2017) Yavuz Selim Güçlü et al.   JOURNAL OF HYDROLOGY

Evaluation of several soft computing methods in monthly evapotranspiration modelling

(2017) Siavash Gavili et al.   METEOROLOGICAL APPLICATIONS

Subset Modeling Basis ANFIS for Prediction of the Reference Evapotranspiration

(2017) Behrooz Keshtegar et al.   WATER RESOURCES MANAGEMENT

Evapotranspiration Estimates Derived Using Multi-Platform Remote Sensing in a Semiarid Region

(2017) Kyle Knipper et al.   Remote Sensing

Upscaling evapotranspiration measurements from multi-site to the satellite pixel scale over heterogeneous land surfaces

(2016) Shaomin Liu et al.   AGRICULTURAL AND FOREST METEOROLOGY

Modeling reference evapotranspiration using three different heuristic regression approaches

(2016) Ozgur Kisi   AGRICULTURAL WATER MANAGEMENT

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

(2016) Mohamed A. Yassin et al.   AGRICULTURAL WATER MANAGEMENT

Simulation of crop evapotranspiration and crop coefficients with data in weighing lysimeters

(2016) Saseendran S. Anapalli et al.   AGRICULTURAL WATER MANAGEMENT

Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine

(2016) Milan Gocic et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An extreme learning machine approach for modeling evapotranspiration using extrinsic inputs

(2016) Amit Prakash Patil et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Multi-model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging

(2016) Gaofeng Zhu et al.   HYDROLOGICAL PROCESSES

Estimation of maize evapotranspiration using extreme learning machine and generalized regression neural network on the China Loess Plateau

(2016) Yu Feng et al.   HYDROLOGY RESEARCH

Estimating Evapotranspiration Using an Extreme Learning Machine Model: Case Study in North Bihar, India

(2016) Deepak Kumar et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach

(2016) Kathryn A. Semmens et al.   REMOTE SENSING OF ENVIRONMENT

Predicting the reference evapotranspiration based on tensor decomposition

(2016) Negin Misaghian et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Comparison of M5 Model Tree and Artificial Neural Network’s Methodologies in Modelling Daily Reference Evapotranspiration from NOAA Satellite Images

(2016) Ali Rahimikhoob   WATER RESOURCES MANAGEMENT

An Experimental Study on Evapotranspiration Data Assimilation Based on the Hydrological Model

(2016) Jian Yin et al.   WATER RESOURCES MANAGEMENT

Estimating Evapotranspiration Using an Extreme Learning Machine Model: Case Study in North Bihar, India

(2016) Deepak Kumar et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Estimation of maize evapotranspiration using extreme learning machine and generalized regression neural network on the China Loess Plateau

(2016) Yu Feng et al.   Hydrology Research

Support vector machine based modeling of evapotranspiration using hydro-climatic variables in a sub-tropical environment

(2015) N.K. Shrestha et al.   AGRICULTURAL AND FOREST METEOROLOGY

Crop evapotranspiration estimation with FAO56: Past and future

(2015) Luis S. Pereira et al.   AGRICULTURAL WATER MANAGEMENT

Determination of the most influential weather parameters on reference evapotranspiration by adaptive neuro-fuzzy methodology

(2015) Dalibor Petković et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data

(2015) Ozgur Kisi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

(2015) Shafika Sultan Abdullah et al.   JOURNAL OF HYDROLOGY

Using Bayesian model averaging to estimate terrestrial evapotranspiration in China

(2015) Yang Chen et al.   JOURNAL OF HYDROLOGY

Comparison of wavelet based hybrid models for daily evapotranspiration estimation using meteorological data

(2015) Turgay Partal   KSCE Journal of Civil Engineering

Performance evaluation of hybrid Wavelet-ANN and Wavelet-ANFIS models for estimating evapotranspiration in arid regions of India

(2015) Amit Prakash Patil et al.   NEURAL COMPUTING & APPLICATIONS

An investigation on generalization ability of artificial neural networks and M5 model tree in modeling reference evapotranspiration

(2015) Ozgur Kisi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Modeling daily reference ET in the karst area of northwest Guangxi (China) using gene expression programming (GEP) and artificial neural network (ANN)

(2015) Sheng Wang et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Support-Vector-Machine-Based Models for Modeling Daily Reference Evapotranspiration With Limited Climatic Data in Extreme Arid Regions

(2015) Xiaohu Wen et al.   WATER RESOURCES MANAGEMENT

Estimating evapotranspiration from temperature and wind speed data using artificial and wavelet neural networks (WNNs)

(2014) Yashar Falamarzi et al.   AGRICULTURAL WATER MANAGEMENT

Assessing reference evapotranspiration by the Hargreaves method in north-eastern Italy

(2014) Antonio Berti et al.   AGRICULTURAL WATER MANAGEMENT

Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts

(2014) Yufeng Luo et al.   AGRICULTURAL WATER MANAGEMENT

Support vector machine applications in the field of hydrology: A review

(2014) Sujay Raghavendra. N et al.   APPLIED SOFT COMPUTING

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

(2014) Jalal Shiri et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS

(2014) Manish Kumar Goyal et al.   EXPERT SYSTEMS WITH APPLICATIONS

Optimized Neural Network Prediction Model for Potential Evapotranspiration Utilizing Ensemble Procedure

(2014) Ahmed El-Shafie et al.   WATER RESOURCES MANAGEMENT

Comparison of Two Different Adaptive Neuro-Fuzzy Inference Systems in Modelling Daily Reference Evapotranspiration

(2014) Ozgur Kisi et al.   WATER RESOURCES MANAGEMENT

Comparison between M5 Model Tree and Neural Networks for Estimating Reference Evapotranspiration in an Arid Environment

(2014) Ali Rahimikhoob   WATER RESOURCES MANAGEMENT

Mapping daily evapotranspiration at field scales over rainfed and irrigated agricultural areas using remote sensing data fusion

(2013) C. Cammalleri et al.   AGRICULTURAL AND FOREST METEOROLOGY

Applicability of Mamdani and Sugeno fuzzy genetic approaches for modeling reference evapotranspiration

(2013) Ozgur Kisi   JOURNAL OF HYDROLOGY

Modeling daily reference evapotranspiration (ET0) in the north of Algeria using generalized regression neural networks (GRNN) and radial basis function neural networks (RBFNN): a comparative study

(2013) Ibtissem Ladlani et al.   METEOROLOGY AND ATMOSPHERIC PHYSICS

Modeling Nonlinear Monthly Evapotranspiration Using Soft Computing and Data Reconstruction Techniques

(2013) Sungwon Kim et al.   WATER RESOURCES MANAGEMENT

Estimation of Monthly Mean Reference Evapotranspiration in Turkey

(2013) Hatice Citakoglu et al.   WATER RESOURCES MANAGEMENT

A Comparison Between Conventional and M5 Model Tree Methods for Converting Pan Evaporation to Reference Evapotranspiration for Semi-Arid Region

(2013) Ali Rahimikhoob et al.   WATER RESOURCES MANAGEMENT

A data fusion approach for mapping daily evapotranspiration at field scale

(2013) C. Cammalleri et al.   WATER RESOURCES RESEARCH

Estimating daily reference evapotranspiration using available and estimated climatic data by adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN)

(2012) Ana Pour-Ali Baba et al.   HYDROLOGY RESEARCH

Artificial neural network models for reference evapotranspiration in an arid area of northwest China

(2012) Z. Huo et al.   JOURNAL OF ARID ENVIRONMENTS

Estimating actual evapotranspiration from an alpine grassland on Qinghai-Tibetan plateau using a two-source model and parameter uncertainty analysis by Bayesian approach

(2012) Gaofeng Zhu et al.   JOURNAL OF HYDROLOGY

Multilayer perceptron for reference evapotranspiration estimation in a semiarid region

(2012) Hossein Tabari et al.   NEURAL COMPUTING & APPLICATIONS

A review of global terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability

(2012) Kaicun Wang et al.   REVIEWS OF GEOPHYSICS

Multi-lead ahead prediction model of reference evapotranspiration utilizing ANN with ensemble procedure

(2012) Ahmed El-Shafie et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Estimating evapotranspiration with land data assimilation systems

(2011) Christa D. Peters-Lidard et al.   HYDROLOGICAL PROCESSES

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

(2011) M. Galar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Reference evapotranspiration based on Class A pan evaporation via wavelet regression technique

(2011) Murat Cobaner   IRRIGATION SCIENCE

Evapotranspiration estimation by two different neuro-fuzzy inference systems

(2011) Murat Cobaner   JOURNAL OF HYDROLOGY

Artificial neural network for modeling reference evapotranspiration complex process in Sudano-Sahelian zone

(2010) Seydou Traore et al.   AGRICULTURAL WATER MANAGEMENT

An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions

(2010) Xiaolin Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Comparison of radial basis function networks and empirical equations for converting from pan evaporation to reference evapotranspiration

(2009) Slavisa Trajkovic   HYDROLOGICAL PROCESSES

M5 model tree based modelling of reference evapotranspiration

(2009) Mahesh Pal et al.   HYDROLOGICAL PROCESSES

Modelling evapotranspiration using discrete wavelet transform and neural networks

(2009) Turgay Partal   HYDROLOGICAL PROCESSES

Evapotranspiration modelling using support vector machines / Modélisation de l'évapotranspiration à l'aide de ‘support vector machines’

(2009) OZGUR KIŞI et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Generation of dense time series synthetic Landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model

(2009) Thomas Hilker et al.   REMOTE SENSING OF ENVIRONMENT

Estimation of evapotranspiration based on only air temperature data using artificial neural networks for a subtropical climate in Iran

(2009) Ali Rahimikhoob   THEORETICAL AND APPLIED CLIMATOLOGY