A Deep Neural Network Architecture to Model Reference Evapotranspiration Using a Single Input Meteorological Parameter

An evaluation of feature selection methods for environmental data

(2021) Dimitrios Effrosynidis et al.   Ecological Informatics

Estimation of daily evapotranspiration in Košice City (Slovakia) using several soft computing techniques

(2021) Yunus Ziya Kaya et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Reliable Evapotranspiration Predictions with a Probabilistic Machine Learning Framework

(2021) Hakan Başağaoğlu et al.   Water

Computational evaluation of microalgae biomass conversion to biodiesel

(2021) Momir Milić et al.   Biomass Conversion and Biorefinery

Evaluation of stacking and blending ensemble learning methods for estimating daily reference evapotranspiration

(2021) Tianao Wu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

The development of evolutionary computing model for simulating reference evapotranspiration over Peninsular Malaysia

(2021) Mohd Khairul Idlan Muhammad et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Modeling reference evapotranspiration using a novel regression-based method: radial basis M5 model tree

(2021) Ozgur Kisi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Forecasting gold price with the XGBoost algorithm and SHAP interaction values

(2021) Sami Ben Jabeur et al.   ANNALS OF OPERATIONS RESEARCH

On the suitability of stacking-based ensembles in smart agriculture for evapotranspiration prediction

(2021) Juan Martín et al.   APPLIED SOFT COMPUTING

Extreme learning machine for reference crop evapotranspiration estimation: Model optimization and spatiotemporal assessment across different climates in China

(2021) Daozhi Gong et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Neuro fuzzy estimation of the most influential parameters for Kusum biodiesel performance

(2021) Dalibor Petković et al.   ENERGY

Estimation of optimal fertilizers for optimal crop yield by adaptive neuro fuzzy logic

(2021) Boris Kuzman et al.   Rhizosphere

Temporal convolution-network-based models for modeling maize evapotranspiration under mulched drip irrigation

(2020) Zhijun Chen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Computation of Evapotranspiration with Artificial Intelligence for Precision Water Resource Management

(2020) Hassan Afzaal et al.   Applied Sciences-Basel

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

(2020) Min Yan Chia et al.   Agronomy-Basel

Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review

(2020) Keyu Xiang et al.   AGRICULTURAL WATER MANAGEMENT

New approach to estimate daily reference evapotranspiration based on hourly temperature and relative humidity using machine learning and deep learning

(2020) Lucas Borges Ferreira et al.   AGRICULTURAL WATER MANAGEMENT

Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration

(2020) Yazid Tikhamarine et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Daily reference evapotranspiration prediction based on climatic conditions applying different data mining techniques and empirical equations

(2020) Fatih Üneş et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm

(2020) Babak Mohammadi et al.   AGRICULTURAL WATER MANAGEMENT

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

(2020) Min Yan Chia et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data

(2020) Bin Zhu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Neuro-fuzzy estimation of reference crop evapotranspiration by neuro fuzzy logic based on weather conditions

(2020) Biljana Petković et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Comparison of five Boosting-based models for estimating daily reference evapotranspiration with limited meteorological variables

(2020) Tianao Wu et al.   PLoS One

Supplanting missing climatic inputs in classical and random forest models for estimating reference evapotranspiration in humid coastal areas of Iran

(2020) Sepideh Karimi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Reference evapotranspiration time series forecasting with ensemble of convolutional neural networks

(2020) Patrícia de Oliveira e Lucas et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Generalized gene expression programming models for estimating reference evapotranspiration through cross-station assessment and exogenous data supply

(2020) Mohammad Hossein Kazemi et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Prediction of reference evapotransipration for irrigation scheduling using machine learning

(2020) Manikumari Nagappan et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods

(2020) Zhijun Chen et al.   JOURNAL OF HYDROLOGY

New machine learning approaches to improve reference evapotranspiration estimates using intra-daily temperature-based variables in a semi-arid region of Spain

(2020) Juan Antonio Bellido-Jiménez et al.   AGRICULTURAL WATER MANAGEMENT

Application of an artificial intelligence technique enhanced with intelligent water drops for monthly reference evapotranspiration estimation

(2020) Farshad Ahmadi et al.   AGRICULTURAL WATER MANAGEMENT

Missing value imputation: a review and analysis of the literature (2006–2017)

(2019) Wei-Chao Lin et al.   ARTIFICIAL INTELLIGENCE REVIEW

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

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

PM2.5 Prediction Based on Random Forest, XGBoost, and Deep Learning Using Multisource Remote Sensing Data

(2019) Mehdi Zamani Joharestani et al.   Atmosphere

Daily evapotranspiration prediction using gradient boost regression model for irrigation planning

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

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

Robust Model Predictive Control of Irrigation Systems With Active Uncertainty Learning and Data Analytics

(2019) Chao Shang et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

A Review of Deep Learning Models for Time Series Prediction

(2019) Zhongyang Han et al.   IEEE SENSORS JOURNAL

Statistical evaluation of mathematics lecture performances by soft computing approach

(2018) Snežana Gavrilović et al.   COMPUTER APPLICATIONS IN ENGINEERING EDUCATION

Evolutionary algorithm for reference evapotranspiration analysis

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

An Evaporation Duct Height Prediction Method Based on Deep Learning

(2018) Xiaoyu Zhu et al.   IEEE Geoscience and Remote Sensing Letters

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

Estimating wheat and maize daily evapotranspiration using artificial neural network

(2018) Nazanin Abrishami 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

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

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

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

Determination of dominant weather parameters on reference evapotranspiration by path analysis theory

(2016) Xuguang Xing et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Selection of the most influential factors on the water-jet assisted underwater laser process by adaptive neuro-fuzzy technique

(2016) Vlastimir Nikolić et al.   INFRARED PHYSICS & TECHNOLOGY

Non-tuned machine learning approach for hydrological time series forecasting

(2016) Zaher Mundher Yaseen et al.   NEURAL COMPUTING & APPLICATIONS

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

Deep learning

(2015) Yann LeCun et al.   NATURE

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

MODELLING REFERENCE EVAPOTRANSPIRATION USING FEED FORWARD BACKPROPAGATION ALGORITHM IN ARID REGIONS OF AFRICA

(2010) Yu-Min Wang et al.   IRRIGATION AND DRAINAGE

Modeling Reference Evapotranspiration Using Evolutionary Neural Networks

(2010) Ozgur Kisi   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

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