Online Seminar: Multi-Sensory Electronic Skin for Water Monitoring
Published on by Dr. Cecilia Tortajada, Professor at School of Social and Environmental Sustainability, University of Glasgow
In recent years, water quality observing technology has allowed scientists to identify and mitigate poor water quality by providing cost-effective tools that autonomously measure essential biogeochemical variables. Despite these technological advances, there is a disconnect between data quality, data gathering, and data analysis. In this regard, autonomous sensors and autonomous methods of sensor deployment may help. For instance, installing multisensory electronic skin-like patches on a water-based robot or drone could enrich data gathering from inaccessible locations of a water body. Such patches are equipped with low-cost disposable sensors to improve data quality by moving the sensor around. Furthermore, real-time sensor data could be used to steer these robots or drones toward desired locations in a water body. Some of these approaches, currently being explored in Aquasense and Muses projects, will be covered in this lecture.
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