Hyperspectral sensing and artificial intelligence pave new path for monitoring soil carbon …

Classically, researchers collect soil samples in the field and haul them back to the lab, where they analyze the material to determine its makeup. In a recent study, University of Illinois researchers show new machine-learning methods based on laboratory soil hyperspectral data could supply equally accurate estimates of soil organic carbon. Wang and his collaborators leveraged a […]