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  • Presentation | B31K: Emerging Machine Learning Approaches for Process Understanding and Predictions in Ecosystem Sciences I Poster
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  • B31K-1863: Importance of soil moisture temporal scale, depth, and antecedent conditions for machine-learning based predictions of dryland carbon and water fluxes
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  • Board 1863‚ Hall EFG (Poster Hall)
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Author(s):
Rubaya Pervin, Indiana University Bloomington (First Author)
Mallory Barnes, Indiana University Bloomington (Presenting Author)
Scott Robeson, Indiana University Bloomington
Steve Kannenberg, West Virginia University
Jie Hu, West Virginia University
Natasha MacBean, Western University

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