A new 30-foot tower on the edge of the Ohio State University Airport is the focal point of a research project that will explore using artificial intelligence and a variety of sensors to monitor environmental conditions on a minute-to-minute basis.
A key part of the project is the use of machine learning to interpret the data as it is collected, says project leader Tanya Berger-Wolf, director of Ohio State's Translational Data Analytics Institute.
"We will use artificial intelligence and machine learning models to take all the complex information we collect and get insight out of the data, such as the impact of emissions from the airplanes on the local environment," she says.
Researchers are collecting data on a variety of factors that may affect carbon emissions and noise and pollution levels. In addition, soil sensors will measure carbon levels, moisture, and temperature. "Interpreting all that data is one reason why AI is integral to this effort," Berger-Wolf says.
From Ohio State University
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