Kohtari has been selected to demonstrate its drone-enabled monitoring, sampling and water intelligence technology in partnership with the Michigan Department of Environment, Great Lakes and Energy (EGLE) as part of Michigan’s Advanced Air Mobility (AAM) Statewide Challenge.
The project will explore how more frequent, location-specific data can support faster, safer and more informed water quality monitoring in Michigan’s Great Lakes region.
Working with EGLE, Kohtari’s approach is designed to show how collecting more frequent, location-specific insight can enable water quality teams to spot changes and predict, rather than just react.
As Kohtari expands its work into the US, it will also implement its WaterIQ platform, which brings together previously fragmented environmental, operational and monitoring data and, using custom built AI and machine learning models, shows where water risk is building and why.
During this particular project, the platform will be used to predict potentially harmful algal blooms (HABs) before they become a reality.
“This is not about simply collecting yet more water data,” said Kohtari’s CEO, James Sumsion.
“Covering such an important area in Michigan’s Great Lakes region, we can help make water quality monitoring faster, safer and far more incisive for those who need to make key decisions about the Grand River and beyond.”
Kohtari’s CEO, James Sumsion, added: “By using our drone-powered water quality monitoring system, we can collect live, location-tagged water quality readings. This is a crucial element in a drive towards far better water quality, with the state of Michigan very much leading the way in the US.
“Turning data into simple outputs for meaningful water quality trends is the way forward if we want to enhance the way we protect our precious waterways and coastlines.”
Kohtari drones used for faster, safer and more incisive water quality monitoring
