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Sustainable Bioenergy Cropping Systems
Machine learning helps predict cropland emissions
Great Lakes Bioenergy Research Center scientists at Michigan State University have developed a groundbreaking machine learning system capable of predicting nitrous oxide emissions from U.S. croplands with unprecedented accuracy, a finding with valuable implications for national greenhouse gas accounting and mitigation.
At the front of her classroom, Rhonda Knapp holds up beakers full of decomposing biomass, explaining how enzymes are working to break down the material.
MADISON – The March issue of BioEnergy Research exclusively focuses on the U.S. Department of Energy-funded Great Lakes Bioenergy Research Center (GLBRC) and bioenergy research topics ranging from arthropods to cell walls to hydrogen and enzyme improvement.
