aceAdvances in machine learning and IoT for water quality monitoring: A comprehensive review
Water holds great significance as a vital resource in our everyday lives, highlighting the important to continuously monitor its quality to ensure its usability. The advent of the. The Internet of Things (IoT) has brought about a revolutionary shift by enabling real-time data collection from diverse sources, thereby facilitating efficient monitoring of water quality (WQ). By employing Machine learning (ML) techniques, this gathered data can be analyzed to make accurate predictions regarding water quality. These…
IoT-enabled real-time data collection combined with machine learning analysis enables accurate predictions of water quality to support safeguarding decisions and preventive measures against contamination.
Integration of IoT wireless technologies and ML for water quality monitoring still faces unresolved challenges and open research questions.
Evidence
- Peer-reviewedHeliyon2024-03-01
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Truvace Impact Record TRV-2026-0468, v1: “Advances in machine learning and IoT for water quality monitoring: A comprehensive review.” Truvace, 2026-07-21. /record/TRV-2026-0468 (accessed at citation time). sha256 ec694f4f5c14acf6…
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