A novel hybrid WOA-XGB model for estimating daily reference evapotranspiration using local and external meteorological data: Applications in arid and humid regions of China

Penman-Monteith with missing data and Hargreaves-Samani for ETo estimation in Espírito Santo state, Brazil

(2019) Luan P. Venancio et al.   Revista Brasileira de Engenharia Agrícola e Ambiental

An XGBoost-based physical fitness evaluation model using advanced feature selection and Bayesian hyper-parameter optimization for wearable running monitoring

(2019) Junqi Guo et al.   Computer Networks

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

Generalized reference evapotranspiration models with limited climatic data based on random forest and gene expression programming in Guangxi, China

(2019) Sheng Wang et al.   AGRICULTURAL WATER MANAGEMENT

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

Combining Principal Component Analysis, Discrete Wavelet Transform and XGBoost to trade in the financial markets

(2019) João Nobre et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

(2019) Guomin Huang et al.   JOURNAL OF HYDROLOGY

Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration

(2019) Lifeng Wu et al.   PLoS One

GNSS-R Soil Moisture Retrieval Based on a XGboost Machine Learning Aided Method: Performance and Validation

(2019) Yan Jia et al.   Remote Sensing

How eddy covariance flux measurements have contributed to our understanding of Global Change Biology

(2019) Dennis D. Baldocchi   GLOBAL CHANGE BIOLOGY

Machine learning models for the estimation of monthly mean daily reference evapotranspiration based on cross-station and synthetic data

(2019) Lifeng Wu et al.   HYDROLOGY RESEARCH

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

Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction

(2019) Lifeng Wu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China

(2019) Lifeng Wu et al.   JOURNAL OF HYDROLOGY

Surface renewal measurements of H, λE and CO2 fluxes over two different agricultural systems

(2019) K. Suvočarev et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

Impact of sum-of-hourly and daily timesteps in the computations of reference evapotranspiration across the Brazilian territory

(2019) Daniel Althoff et al.   AGRICULTURAL WATER MANAGEMENT

Evapotranspiration, crop coefficients, and physiological responses of citrus trees in semi-arid climatic conditions

(2019) Sajad Jamshidi et al.   AGRICULTURAL WATER MANAGEMENT

Hybrid support vector machines with heuristic algorithms for prediction of daily diffuse solar radiation in air-polluted regions

(2019) Junliang Fan et al.   RENEWABLE ENERGY

Comparing evapotranspiration characteristics and environmental controls for three agroforestry ecosystems in a subtropical humid karst area

(2018) Rongfei Zhang et al.   JOURNAL OF HYDROLOGY

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

(2018) Saeid Mehdizadeh   JOURNAL OF HYDROLOGY

Improving the performance of the mass transfer-based reference evapotranspiration estimation approaches through a coupled wavelet-random forest methodology

(2018) Jalal Shiri   JOURNAL OF HYDROLOGY

Temperature-based modeling of reference evapotranspiration using several artificial intelligence models: application of different modeling scenarios

(2018) Hadi Sanikhani et al.   THEORETICAL AND APPLIED CLIMATOLOGY

A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost

(2018) Dahai Zhang et al.   IEEE Access

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

Downscaling of American National Aeronautics and Space Administration (NASA) daily air temperature in Sicily, Italy, and effects on crop reference evapotranspiration

(2018) Amro Negm et al.   AGRICULTURAL WATER MANAGEMENT

Daily pan evaporation modeling from local and cross-station data using three tree-based machine learning models

(2018) Xianghui Lu et al.   JOURNAL OF HYDROLOGY

Evaluation of the Penman-Monteith and other 34 reference evapotranspiration equations under limited data in a semiarid dry climate

(2018) Koffi Djaman et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Ensemble forecasting of monthly and seasonal reference crop evapotranspiration based on global climate model outputs

(2018) Tongtiegang Zhao et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

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

Assessment of spatiotemporal variability of reference evapotranspiration and controlling climate factors over decades in China using geospatial techniques

(2018) Lei Zhang et al.   AGRICULTURAL WATER MANAGEMENT

Partitioning evapotranspiration of a drip-irrigated wheat crop: Inter-comparing eddy covariance-, sap flow-, lysimeter- and FAO-based methods

(2018) Zoubair Rafi et al.   AGRICULTURAL AND FOREST METEOROLOGY

New alternatives for reference evapotranspiration estimation in West Africa using limited weather data and ancillary data supply strategies.

(2017) Gorka Landeras et al.   THEORETICAL AND APPLIED CLIMATOLOGY

The Whale Optimization Algorithm

(2016) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Modelling daily reference evapotranspiration in humid locations of South Korea using local and cross-station data management scenarios

(2016) Sepideh Karimi et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Evaluating the generalizability of GEP models for estimating reference evapotranspiration in distant humid and arid locations

(2016) Hamed Kiafar et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Developing Equations for Estimating Reference Evapotranspiration in Australia

(2016) Matin Ahooghalandari et al.   WATER RESOURCES MANAGEMENT

Independent testing for assessing the calibration of the Hargreaves–Samani equation: New heuristic alternatives for Iran

(2015) Jalal Shiri et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Local vs. external training of neuro-fuzzy and neural networks models for estimating reference evapotranspiration assessed throughk-fold testing

(2015) Jalal Shiri et al.   HYDROLOGY RESEARCH

Simplified limited data Penman’s ET 0 formulas adapted for humid locations

(2015) John D. Valiantzas   JOURNAL OF HYDROLOGY

Evaluation of the Penman-Monteith (FAO 56 PM) Method for Calculating Reference Evapotranspiration Using Limited Data

(2015) Mario Córdova et al.   MOUNTAIN RESEARCH AND DEVELOPMENT

Local vs. external training of neuro-fuzzy and neural networks models for estimating reference evapotranspiration assessed throughk-fold testing

(2015) Jalal Shiri et al.   Hydrology Research

Simplified forms for the standardized FAO-56 Penman–Monteith reference evapotranspiration using limited weather data

(2013) John D. Valiantzas   JOURNAL OF HYDROLOGY

Generalizability of Gene Expression Programming-based approaches for estimating daily reference evapotranspiration in coastal stations of Iran

(2013) Jalal Shiri et al.   JOURNAL OF HYDROLOGY

Global cross-station assessment of neuro-fuzzy models for estimating daily reference evapotranspiration

(2012) Jalal Shiri et al.   JOURNAL OF HYDROLOGY

Forecasting daily potential evapotranspiration using machine learning and limited climatic data

(2010) Alfonso F. Torres et al.   AGRICULTURAL WATER MANAGEMENT

Neural networks with artificial bee colony algorithm for modeling daily reference evapotranspiration

(2010) Coskun Ozkan et al.   IRRIGATION SCIENCE

Case Study on the Accuracy and Cost/Effectiveness in Simulating Reference Evapotranspiration in West-Central Florida

(2010) Michael Grant Exner-Kittridge et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Evaluation of FAO Penman–Monteith and alternative methods for estimating reference evapotranspiration with missing data in Southern Ontario, Canada

(2009) Paulo C. Sentelhas et al.   AGRICULTURAL WATER MANAGEMENT