A Review on Machine Learning, Artificial Intelligence, and Smart Technology in Water Treatment and Monitoring

Artificial-intelligence methods and machine-learning models have demonstrated their ability to optimize, model, and automate critical water- and wastewater-treatment applications, natural-systems monitoring and management, and water-based agriculture such as hydroponics and aquaponics. In addition t...

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Bibliographic Details
Published in:	Water (Basel) Vol. 14; no. 9; p. 1384
Main Authors:	Lowe, Matthew, Qin, Ruwen, Mao, Xinwei
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.05.2022
Subjects:	Adsorption Analysis Artificial intelligence Cost control Information management Internet of Things Machine learning Neural networks Purification Sensors Sewage Support vector machines Technology Water quality Water treatment Germany
ISSN:	2073-4441, 2073-4441
Online Access:	Get full text
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