A novel autonomous water collection and water-quality testing platform.
Aquaculture is a robust method for food production, but the field faces challenges that compel innovation to ensure its sustainability. Currently there is a need for advanced monitoring and feeding technology to create more sustainable growth conditions. To make monitoring easier and more efficient, researchers at FAU developed a novel autonomous water collection and water-quality testing platform. This system can conduct automated sampling at frequencies relevant for accurate prediction of water quality. It enables collaborative monitoring and decision-making using aero-amphibious robotic sensing platforms capable of air, land and water movements and integrated underwater sensors.
Allows for test measure accuracy
Increases sample integrity
Cost-effective sampling method
Reduced environmental burden