An Open-source Wireless Platform for Real-time Water Quality Monitoring with Precise Global Positioning

Niel F. Salas-Cueva, Jorch Mendoza, Juan Carlos Cutipa-Luque, Pablo Raul Yanyachi

Research output: Contribution to journalArticlepeer-review


Sustainable development associated with the agricultural field of Arequipa, a region in economic growth, is vulnerable to contamination of water resources, putting production systems and food security at risk. Therefore, it is necessary to implement an automated system to control, management, and monitor this vital resource. The proposed work proposed a system to measure water quality monitoring in reservoirs and lakes with high accurate related to global positioning. It includes an embedded computer, multiparameter sonde, and an additional dual GNSS/INS in hardware architecture. The software architecture is fully open-source with compatibility, modularity, and interoperability features between Python and MySQL, allowing data management for real-time data in visual interface on a platform that stores unlimited data logging, monitors and analyzes. The proposed system is validated in an experimental test that measures the water quality of a huge agricultural reservoir, where certified instrumentation is mandatory, as compared to other methods used locally for this action.

Original languageEnglish
Pages (from-to)775-782
Number of pages8
JournalInternational Journal of Advanced Computer Science and Applications
Issue number9
StatePublished - 2021

Bibliographical note

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  • Inertial Navigation System (INS)
  • MySQL
  • Open-source
  • dual Global Navigation Satellite System (GNSS)
  • multiparameter sonde
  • python
  • real-time
  • visual interface
  • water quality monitoring


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