Environmental Studies and Forestry
Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
L. Liu, W. Zhou, et al.
Explore groundbreaking research by Licheng Liu and colleagues on enhancing carbon cycle quantification in agroecosystems using an innovative Knowledge-Guided Machine Learning framework. This study outperforms traditional models, providing greater insights into soil organic carbon changes across the U.S. Corn Belt.
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