The University of Minnesota’s Precision Ag Center has been trying to create improved and easy to use variable rate N (VRN) technologies using management zone (MZ) based dynamic crop models, remote sensing, and machine learning technologies. Previously completed on-farm trials and other ongoing trials being conducted in Minnesota’s Central, Metro, Southeast, and South- Central areas provide the data to further improve some of the VRN technologies and develop guidelines for VRN management of corn in various regions of Minnesota.