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Water-Monitoring Robotic Swans

These Robot Swans Help Provide Data-Driven Water Testing

— July 14, 2015 — Tech
A team from the National University of Singapore has begun testing specially designed robot swans that will help scientists monitor water conditions and facilitate efficient water testing. While the 'NUSwans' may look like floating avian decorations, they actually function as a valuable form of data collection.

Currently researchers collect water samples via boat. However, this process is labor-intensive and time consuming. The NUSwans help make water sampling more efficient by collecting real-time data about water conditions such as pH, turbidity, dissolved oxygen and chlorophyll. The robot swans then wirelessly transmit this information back to researchers through the cloud. Based on this information, researchers can easily determine if there is a problem with the water quality.

The robot swans are currently being tested in the Singapore’s Pandan Reservoir and thus far they have proved an efficient and unobtrusive means of collecting water quality data.
Trend Themes
1. Data-driven Water Testing - The use of robot swans for data collection in water testing streamlines the process and provides real-time information.
2. Efficient Water Sampling - The robot swans enable faster and more effective water sampling by transmitting data wirelessly to researchers.
3. Remote Water Monitoring - The cloud-based transmission of data by the robot swans allows for remote monitoring of water conditions.
Industry Implications
1. Environmental Monitoring - The use of robot swans for water testing creates opportunities for innovation in environmental monitoring technologies.
2. Research and Development - The data-driven approach of using robot swans for water sampling offers potential for advancements in research and development of water quality analysis.
3. Aquaculture Industry - The efficient and unobtrusive nature of robot swans in collecting water quality data can benefit the aquaculture industry in maintaining optimal conditions.
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