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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.
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.
