Once growers and agronomist have a reliable forecast of disease risk they need to know which farms and paddocks are most at risk. This project will enable growers to manage the impacts of grain crop diseases more profitably using new detection and mapping capabilities that detect infection prior to visual symptoms that can be scouted by an agronomist. It will do so by coupling satellite-based analytics with on-farm data and mechanistic (process-based) models of disease epidemiology developed by Australian grain crop pathologists.