Improved nitrogen management is a common goal for many growers, given its importance in optimising yields and the associated costs. Utilising available data sources is central to this improvement and recent development in grain protein sensing has shown potential for targeting N inputs spatially. This project will assess the utility of this data for improving N applications.
