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Study Shows Machine Learning More Accurately Monitor PFAS in Michigan Drinking Water

Newly published research from MSU scientists demonstrates how regionally specific machine learning-based modeling more effectively monitors levels of per- and polyfluoroalkyl (PFAS) chemicals in Michigan drinking water compared to nationwide models.
Younsuk Dong and associates stand under the LOCOMOS system

Increasing Crop Yield and Reducing Water Consumption with Precision Irrigation

Younsuk Dong, an Assistant Professor and Extension Specialist, has created a system that will improve irrigation and plant disease management.
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Climate Change Threatens Asia’s Water Tower

MSU researchers are identifying policy changes that need to happen now to prepare for the future impacts projected by climate models.
zoomed in meltwater stonefly

Learning From the Meltwater Stonefly Before We Lose It

These alpine insects face a dire future, but MSU researchers are helping make sure we learn the valuable lessons they can still share.