gaps in data

New AI Model Predicts Water Quality Based on the Weather

New AI Model Predicts Water Quality Based on the Weather

Water quality sampling is an arduous task – exponentially so for remote areas, where difficulties in physical accessibility can lead to years- or decades-long gaps in data. This, in turn, leads to inefficiencies, delays and mistakes in remedying problems with water quality. Now, a team led by Penn State researchers has developed a new, AI-powered model to predict water quality in such remote regions using weather data.