Precision nitrogen (N) management (PNM) aims to match N supply with crop N demand in both space and time and has the potential to improve N use efficiency (NUE), increase farmer profitability, and reduce N losses and negative environmental impacts. However, current PNM adoption rate is still quite low. A remote sensing and calibration strip-based PNM strategy (RS-CS-PNM) has been developed by the Precision Agriculture Center at the University of Minnesota. The objective of this research was to systematically evaluate this RS-CS-PNM strategy under diverse on-farm conditions in terms of corn yield, NUE, economic returns and environmental impact as compared with farmer’s N rate (FNR) and a commercially available crop growth model-based N management strategy. Ten commercial fields in Minnesota and Indiana, USA were selected in 2021 for this study. A series of N rate strips across each field were set up before planting, including 35% FNR, 35%FNR, 70%FNR, 100% FNR, and 130% FNR, with 3-5 replications depending on the field size. The 130% FNR strip can be regarded as N rich strip. The strips were further delineated into small grids approximately 45 m long, with width being 21.4 to 24.4 m depending on each farmer’s fertilizer applicator’s width. The adjacent grids that represented the range of preplant N treatments were considered as one block. For the RS-CS-PNM strategy, normalized difference vegetation index (NDVI) calculated from the PlanetScope images was calculated and response curves were created with NDVI and the applied preplant N rates for each block at V7-V9 growth stages. Then the side-dress N rate for each grid was determined by deducting the preplant N rate (35% and 70% FNR) from the block-specific optimal N rate (ONR). Granular’s crop growth model-based PNM strategy (GCGM-PNM) was used in this study, and side-dress N application rates were determined by the company using their crop growth model-based algorithm for one of the two 35% FNR strips in each replication. Yield monitor data were cleaned to remove erroneous data. The crop yield, partial factor productivity, economic returns, and residual nitrate N at harvest for the RS-CS-PNM strategy were compared with FNR and the GCGM-PNM strategy. Preliminary analysis indicated that the RS-CS-PNM performance varied from field to field and within a field. More analyses are being performed and the results will be provided for the full paper and presented at the conference.