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Water Quality Monitoring Using Wireless Sensor Networks

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dc.contributor.author Izanoordina, Ahmad
dc.contributor.author Nur Izzati Syahirah, Noor Ridzuan
dc.contributor.author Wan Nur Hurul Asma, Wan Hassan
dc.contributor.author Mohd Remy, Rozainy
dc.contributor.author UniKL, BMI
dc.date.accessioned 2021-12-03T05:03:31Z
dc.date.available 2021-12-03T05:03:31Z
dc.date.issued 2020-11
dc.identifier.citation Izanoordina Ahmad, Nur Izzati Syahirah Noor Ridzuan, Wan Nur Hurul Asma Wan Hassan, and Mohd Remy Rozainy (2020). Water Quality Monitoring Using Wireless Sensor Networks. AIP Conference Proceedings, Vol. 2291 (Issue 1). https://doi.org/10.1063/5.0025040 en_US
dc.identifier.issn 0094243X
dc.identifier.uri http://hdl.handle.net/123456789/25212
dc.description The article is indexed by Scopus en_US
dc.description.abstract Water quality monitoring is one of the application to determine the quality of aquatic systems. Poor water quality will cause health risk to people and ecosystems. Sg Pahang is one of a popular spot for a caged catfish breeder. However, due to the rapid development, pollution of river is increased and the caged fish breeders have experiencing a drop in production. Furthermore, the samples of water for the analysis of fish death is collected manually, thus cause a time consuming, limitation of manpower, facility, and cost of equipment. Therefore, a system is needed to collect the real-time data for monitoring the quality of water. This paper aims to develop a real time water quality monitoring system based on IoT application. Three sensors were used as parameters to determine the water quality which are pH, temperature and ultrasonic sensors. LoRa is used as a device to transmit data in long range and the user could monitor the data continuously in real-time. As a result, the system could improve the way of retrieving the data for any abnormal condition of catfish breeder. en_US
dc.language.iso en en_US
dc.publisher American Institute of Physics Inc. en_US
dc.subject Underwater Cameras en_US
dc.subject Fishes en_US
dc.subject Computer Vision en_US
dc.title Water Quality Monitoring Using Wireless Sensor Networks en_US
dc.type Article en_US
dc.conference.name AIP Conference Proceedings, Volume 2291, Issue 1, 2 November 2020 en_US
dc.conference.year 2020 en_US


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