The utilization of active canopy sensors in corn (Zea Mays L.) for in-season N fertilizer management has the potential to maintain optimal production and conserve fertilizer N resources. Canopy sensors can be considered a green technology in production agriculture by attempting equitable land stewardship and providing an economically viable N management practice. Robust and accurate algorithms to determine an appropriate N application rate based on canopy sensing is needed in order to effectively utilize sensors in Iowa production fields. The objective of this study was to develop N rate algorithms using active canopy sensors which can prescribe in-season N application to corn.