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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Ricardo Mendes, Coutinho, C. & Mataloto, B. (2025). Multiparameter Monitoring and Control System for Intelligent Water Management. In Procedia Computer Science. (pp. 600-607).: Elsevier BV.
Exportar Referência (IEEE) 
R. Mendes et al.,  "Multiparameter Monitoring and Control System for Intelligent Water Management", in Procedia Computer Science, Elsevier BV, 2025, vol. 263, pp. 600-607
Exportar BibTeX 
@inproceedings{mendes2025_1773678867058,
	author = "Ricardo Mendes and Coutinho, C. and Mataloto, B.",
	title = "Multiparameter Monitoring and Control System for Intelligent Water Management",
	booktitle = "Procedia Computer Science",
	year = "2025",
	editor = "",
	volume = "263",
	number = "",
	series = "",
	doi = "10.1016/j.procs.2025.07.072",
	pages = "600-607",
	publisher = "Elsevier BV",
	address = "",
	organization = ""
}
Exportar RIS 
TY  - CPAPER
TI  - Multiparameter Monitoring and Control System for Intelligent Water Management
T2  - Procedia Computer Science
VL  - 263
AU  - Ricardo Mendes
AU  - Coutinho, C.
AU  - Mataloto, B.
PY  - 2025
SP  - 600-607
SN  - 1877-0509
DO  - 10.1016/j.procs.2025.07.072
AB  - Water, an essential resource for both human life and industry, is at risk due to overconsumption, pollution, and climate change.
Addressing this issue, this research presents the development of a multiparameter monitoring and control system using Internet of
Things (IoT) technology. Combining several sensors, including a camera for reading water meter values, a soil humidity sensor,
and a conventional water leak detector, the system aims to detect and prevent water leaks, thereby contributing to water
conservation. Furthermore, the system will integrate real-time weather data to provide a comprehensive solution for both indoor
and outdoor settings. Initial implementation includes the water detection and humidity modules, with ongoing efforts to integrate
the water meter module and refine the system using meteorological data. This holistic approach not only mitigates water waste but
also promotes efficient water usage and raises user awareness. This research holds significant potential for several applications,
offering both economic and environmental benefits.
ER  -