Prediction of irrigation water quality indices based on machine learning and regression models

Prediction and evaluation of groundwater characteristics using the radial basic model in Semi-arid region, India

(2021) Balamurugan Panneerselvam et al.   INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY

Prediction of Combined Terrestrial Evapotranspiration Index (CTEI) over Large River Basin Based on Machine Learning Approaches

(2021) Ahmed Elbeltagi et al.   Water

Applications of Gaussian process regression for predicting blue water footprint: Case study in Ad Daqahliyah, Egypt

(2021) Ahmed Elbeltagi et al.   AGRICULTURAL WATER MANAGEMENT

Assessing drinking water quality based on physical, chemical and microbial parameters in the Red Sea State, Sudan using a combination of water quality index and artificial neural network model

(2021) Mohamedelfatieh Ismael et al.   Groundwater for Sustainable Development

Estimation of the rice water footprint based on machine learning algorithms

(2021) Ali Mokhtar et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Applications of various data-driven models for the prediction of groundwater quality index in the Akot basin, Maharashtra, India

(2021) Ahmed Elbeltagi et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models

(2021) Saber Kouadri et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)

(2021) Saber Kouadri et al.   Applied Water Science

Crop Water footprint estimation and modeling using an artificial neural network approach in the Nile Delta, Egypt

(2020) Ahmed Elbeltagi et al.   AGRICULTURAL WATER MANAGEMENT

Hybrid decision tree-based machine learning models for short-term water quality prediction

(2020) Hongfang Lu et al.   CHEMOSPHERE

Modeling monthly crop coefficients of maize based on limited meteorological data: A case study in Nile Delta, Egypt

(2020) Ahmed Elbeltagi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination

(2020) S.I. Abba et al.   JOURNAL OF HYDROLOGY

A survey on river water quality modelling using artificial intelligence models: 2000–2020

(2020) Tiyasha et al.   JOURNAL OF HYDROLOGY

Application of neural network and time series modeling to study the suitability of drain water quality for irrigation: a case study from Egypt

(2020) Mohamed K. Abdel-Fattah et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Spatial and temporal variability analysis of green and blue evapotranspiration of wheat in the Egyptian Nile Delta from 1997 to 2017

(2020) Ahmed Elbeltagi et al.   JOURNAL OF HYDROLOGY

Hydrogeochemical Characterization and Irrigation Quality Assessment of Shallow Groundwater in the Central-Western Guanzhong Basin, China

(2019) Panpan Xu et al.   International Journal of Environmental Research and Public Health

Spatial interpolation approach-based appraisal of groundwater quality of arid regions

(2019) Kanak Moharir et al.   JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA

Estimation of irrigation water quality index with development of an optimum model: a case study

(2019) Sayiter Yıldız et al.   ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

Machine learning methods for better water quality prediction

(2019) Ali Najah Ahmed et al.   JOURNAL OF HYDROLOGY

Effect of Water Shortage and Pollution of Irrigation Water on Water Reuse for Irrigation in the Nile Delta

(2019) Walaa Assar et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big data

(2019) Kangyang Chen et al.   WATER RESEARCH

Groundwater evaluation for drinking purposes using statistical index: study of Akola and Buldhana districts of Maharashtra, India

(2019) Chaitanya B. Pande et al.   ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China

(2018) Junliang Fan et al.   ENERGY CONVERSION AND MANAGEMENT

Water quality prediction using machine learning methods

(2018) Amir Hamzeh Haghiabi et al.   WATER QUALITY RESEARCH JOURNAL OF CANADA

A review of GIS-integrated statistical techniques for groundwater quality evaluation and protection

(2018) Deepesh Machiwal et al.   Environmental Earth Sciences

Deep forest

(2018) Zhi-Hua Zhou et al.   National Science Review

Driven Factors Analysis of China’s Irrigation Water Use Efficiency by Stepwise Regression and Principal Component Analysis

(2016) Renfu Jia et al.   DISCRETE DYNAMICS IN NATURE AND SOCIETY

Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia

(2016) Mohammed Hameed et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of water quality index in constructed wetlands using support vector machine

(2014) Reza Mohammadpour et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Assessing the potential of support vector machine for estimating daily solar radiation using sunshine duration

(2013) Ji-Long Chen et al.   ENERGY CONVERSION AND MANAGEMENT

General models for estimating daily global solar radiation for different solar radiation zones in mainland China

(2013) Mao-Fen Li et al.   ENERGY CONVERSION AND MANAGEMENT

Evaluation of ground water quality using multiple linear regression and structural equation modeling

(2013) I. Chenini et al.   International Journal of Environmental Science and Technology

Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors

(2012) Nabeel M. Gazzaz et al.   MARINE POLLUTION BULLETIN

Multivariate statistical analysis of surface water quality based on correlations and variations in the data set

(2010) R. Noori et al.   DESALINATION