Groundwater quality forecasting using machine learning algorithms for irrigation purposes-Reference-Cited by-同舟云学术

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Groundwater quality forecasting using machine learning algorithms for irrigation purposes

Published:2021-02 Issue: Volume:245 Page:106625
ISSN:0378-3774
Container-title:Agricultural Water Management
language:en
Short-container-title:Agricultural Water Management

Author:

El Bilali Ali,Taleb Abdeslam,Brouziyne Youssef

Funder

River Basin Agency of Bouregreg and Chaouia

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference102 articles.

1. Adimalla, N., Qian, H., Li, P., 2019. Entropy Water Quality Index and Probabilistic Health Risk Assessment from Geochemistry of Groundwaters in Hard Rock Terrain of Nanganur County, South India. Chemie der Erde. https://doi.org/10.1016/j.chemer.2019.125544.

2. Hydrogeochemical investigation of groundwater quality in the hard rock terrain of South India using geographic information system (GIS) and groundwater quality index (GWQI) techniques;Adimalla;Groundw. Sustain. Dev.,2020

3. Data Mining;Aggarwal,2015

4. Efficient water quality prediction using supervised machine learning;Ahmed;Water,2019

5. Assessment of saltwater contamination extent in the coastal aquifers of Chaouia (Morocco) using the electric recognition;Alabjah;J. Hydrol.,2018

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