Harnessing the Power of Artificial Intelligence for the Detection and Removal of Contaminants in Water: A Comprehensive Review

Adrian Stoica and Tudor Popescu
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Adrian Stoica: Departamentul de Științe Ambientale, University of Transylvania, Cluj-Napoca, Romania
Tudor Popescu: Facultatea de Științe Ambientale, Moldova International University, Iasi, Romania

Inventum Biologicum: An International Journal of Biological Research, 2023, vol. 3, issue 3, 62-67

Abstract: As concerns over water quality and scarcity intensify globally, the integration of artificial intelligence (AI) technologies into water management systems has emerged as a promising solution. This comprehensive review examines the pivotal role of AI in the detection and removal of contaminants from water sources. Through an exploration of cutting-edge technologies, machine learning algorithms, and their applications, this review provides insights into the current state, challenges, and future prospects of AI-driven approaches in water quality management.

Keywords: Artificial Intelligence; Water quality management; Contaminant detection; Contaminant removal; Treatment plants (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:adg:ibijbr:v:3:y:2023:i:3:p:62-67

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