Julia Maddalena .ical Talks Quantifying agricultural soil carbon stocks at continent scale using a modern Python big data and ML framework We have developed a Python-based modeling and spatial prediction framework to accurately estimate soil carbon content at large geographic scales. These methods can provide cost-effective carbon accounting for regenerative farming operations.