Prasad, Avneet and Mamun, Kabir and Islam, F M Rabiul and Haqva, Haq (2015) Smart water quality monitoring system. [Conference Proceedings]
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Abstract
Nowadays Internet of Things (IoT) and Remote Sensing (RS) techniques are used in different area of research for monitoring, collecting and analysis data from remote locations. Due to the vast increase in global industrial output, rural to urban drift and the over-utilization of land and sea resources, the quality of water available to people has deteriorated greatly. The high use of fertilizers in farms and also other chemicals in sectors such as mining and construction have contributed immensely to the overall reduction of water quality globally. Water is an essential need for human survival and therefore there must be mechanisms put in place to vigorously test the quality of water that made available for drinking in town and city articulated supplies and as well as the rivers, creeks and shoreline that surround our towns and cities. The availability of good quality water is paramount in preventing outbreaks of water-borne diseases as well as improving the quality of life. Fiji Islands are located in the vast Pacific Ocean which requires a frequent data collecting network for the water quality monitoring and IoT and RS can improve the existing measurement. This paper presents a smart water quality monitoring system for Fiji, using IoT and remote sensing technology.
Item Type: | Conference Proceedings |
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Uncontrolled Keywords: | Internet of Things;fertilisers;public utilities;remote sensing;water quality;Fiji Islands;Internet of Things;IoT;Pacific Ocean;data analysis;data collecting;data monitoring;farms;fertilizers;global industrial output;human survival;land and sea resources;over-utilization;quality of life;remote locations;remote sensing techniques;remote sensing technology;rural drift;smart water quality monitoring system;urban drift;water-borne diseases;Conductivity;Monitoring;Ocean temperature;Pollution measurement;Sea measurements;Temperature measurement;Water pollution;Internet of Things;Remote Sensing;Smart Water Quality Monitoring |
Subjects: | S Agriculture > S Agriculture (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > Robotics and Automation |
Divisions: | Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics |
Depositing User: | Kabir Mamun |
Date Deposited: | 07 Jul 2016 01:29 |
Last Modified: | 12 Jul 2016 02:45 |
URI: | https://repository.usp.ac.fj/id/eprint/9003 |
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