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Most developing countries depend on conventional water quality monitoring methods which are usually expensive, complicated, and time-consuming. In recent years, stationary and portable water quality monitoring and a mobile surface vehicle have increased the utilization of on-site water measurements and monitoring. The first has the disadvantage of small coverage area while the second has its cost and operational complexity. This paper addresses these issues by placing materials and equipment used in fixed online water quality monitoring and using a customized and low-cost unmanned surface vehicle. The measurements are taken automatically on the equipment onboard the unmanned surface vehicle (USV), transmitted wirelessly to a PC-based remote station or nearby stations and saved there in a dedicated database. The overall system comprises a commercial water quality sensor, a GSM and Zigbee module for a wireless communication system, a low-cost mobility platform, and the location/positioning system. During testing, all captured data like water quality parameters, location, and other essential parameters were collated, processed and stored in a database system. Relevant information from the USV can be viewed on a smartphone or a computer. The USV was also tested to conduct unmanned water quality measurements using the pre-inputted navigation route which shows a good result in navigation and data transmission. Water bodies with calm water such as lakes and rivers can use the USV, in a stand-alone mode or as a part of a networked sensor system.
Computer Networks and Communications, Unmanned surface vehicle, Marine engineering, Ocean Engineering, Real-time computing, Environmental science, Engineering, Real-time Water Quality Monitoring and Aquaculture Management, GSM, Embedded system, Biology, Water Science and Technology, Wireless Sensor Networks: Survey and Applications, Ecology, Underwater Acoustic Sensor Networks and Communication, Computer science, Transmission (telecommunications), Water quality, Wireless Monitoring, FOS: Biological sciences, Environmental Science, Physical Sciences, Computer Science, Wireless, Telecommunications, Water Quality Monitoring, Environmental Monitoring
Computer Networks and Communications, Unmanned surface vehicle, Marine engineering, Ocean Engineering, Real-time computing, Environmental science, Engineering, Real-time Water Quality Monitoring and Aquaculture Management, GSM, Embedded system, Biology, Water Science and Technology, Wireless Sensor Networks: Survey and Applications, Ecology, Underwater Acoustic Sensor Networks and Communication, Computer science, Transmission (telecommunications), Water quality, Wireless Monitoring, FOS: Biological sciences, Environmental Science, Physical Sciences, Computer Science, Wireless, Telecommunications, Water Quality Monitoring, Environmental Monitoring
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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