Emory environmentals scientist combined field-level data with machine-learning techniques to estimate soil organic carbon at the U.S. scale, another step toward providing more accurate baseline data to improve Earth system models for climate change.
Geigermeter News Magazine
Emory environmentals scientist combined field-level data with machine-learning techniques to estimate soil organic carbon at the U.S. scale, another step toward providing more accurate baseline data to improve Earth system models for climate change.