The BESS-STAIR framework, developed by CABBI researchers at the University of Illinois, was tested in 12 sites across the US Corn Belt and achieved unprecedented accuracy
Researchers have developed new approaches that significantly improve the accuracy of an important material testing technique by harnessing the power of machine learning