Advances in machine learning and IoT for water quality monitoring: A comprehensive review
École Normale Supérieure de l'Enseignement Technique de Mohammedia
Abstract
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 predictive insights play a crucial role in decision-making processes aimed at safeguarding water quality, such as identifying areas in need of immediate attention and implementing preventive measures to…
Citation impact
- FWCI
- 35.50
- Percentile
- 100%
- References
- 242
Authors
3Topics & keywords
- LPWAN
- Computer science
- Context (archaeology)
- Usability
- Wireless
- Quality (philosophy)
- Water quality
- Data science
- Clean water and sanitation