University of Illinois researchers develop dynamic framework to monitor tillage practices from space
Researchers at the University of Illinois have developed a satellite- and machine learning–based framework that maps tillage practices across large regions over time, providing more detailed and timely insights for sustainable agriculture and policy than traditional survey methods.
Illinois Team Tests the Costs, Benefits of Agrivoltaics Across the Midwest
A new study examines the agricultural and economic trade-offs that come with installing solar arrays on working farms across the Midwest.
AI meets hydrology: Illinois scientists develop new system to track nitrogen pollution across watersheds
A new University of Illinois study shows that a knowledge-guided AI model, HydroGraphNet, can significantly improve daily predictions of streamflow and nitrogen pollution across agricultural watersheds by capturing upstream–downstream connections.
New AI Method Advances Prediction of Brazil’s National Soybean Yield
A new AI-based system can generate high-resolution soybean yield maps across Brazil using only limited local data, improving yield estimates for this key agricultural region and potentially providing strategic benefits to global soybean markets.
Illinois Researchers Untangle Drivers of Nitrogen Loss in the Upper Mississippi River Basin
Scientists at the University of Illinois Urbana-Champaign can now differentiate between human-derived and hydrological contributions of riverine nitrogen pollution in the Upper Mississippi River Basin.