Conservation tillage practices, such as no-till and reduced till, are critical for sustainable agriculture, and they are gradually becoming popular with farmers across the Midwest. Monitoring tillage usage can provide insights into soil health, water levels, and nutrient loss, as well as guide management and policy decisions. A University of Illinois Urbana-Champaign research team has developed a dynamic framework that uses satellite imagery and machine learning to detect tillage practices over large areas and long time periods. The team discusses their methodology and findings in a new paper.