Application of GIS-based machine learning algorithms for prediction of irrigational groundwater quality indices

Application of GIS-based machine learning algorithms for prediction of irrigational groundwater quality indices

Agriculture is considered one of the primary elements for socioeconomic stability in most parts of Sudan. Consequently, the irrigation water should be properly managed to achieve sustainable crop yield and soil fertility. This research aims to predict the irrigation indices of sodium adsorption rati...

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Bibliographic Details
Main Authors: Musaab A. A. Mohammed, Fuat Kaya, Ahmed Mohamed, Saad S. Alarifi, Ahmed Abdelrady, Ali Keshavarzi, Norbert P. Szabó, Péter Szűcs
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Earth Science
Subjects:
Nubian aquifer system
artificial intelligence
spatial uncertainty
irrigation
groundwater quality
Khartoum
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2023.1274142/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2023.1274142/full

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