Underwater robot drone packed with 100-year-old tool unravels secrets of Arctic algal blooms

Researchers from the Norwegian University of Science and Technology are combining autonomous underwater vehicles (AUVs) and traditional water sampling to study Arctic spring phytoplankton blooms. AUVs map chlorophyll concentrations in 3D and adjust their paths based on real-time data. This approach provides precise measurements and broader spatial understanding of algal bloom dynamics. The study aims to improve understanding of marine food chains and develop autonomous environmental monitoring robots. Interdisciplinary collaboration is crucial for unraveling oceanic mysteries.