Browsing by Subject "sensor-based nutrient management"
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Item Can Active Canopy Sensing Technologies and Soil Nitrogen Content Help Us Improve Corn-Nitrogen Management in Minnesota?(2017-01) Dias Paiao, GabrielWe evaluated the utility of different canopy sensing tools alone or adjusted with soil nitrogen (N) content to estimate corn grain yield and N requirements at various corn development stages. Canopy sensing measurements with SPAD, GreenSeeker NDVI (GS-NDVI), RapidSCAN NDVI and NDRE (RS-NDVI and RS-NDRE) were obtained at V4, V8, V12 and R1 development stages, and soil NO3--N concentration was measured at V4 stage. RS-NDRE had the best predictive power of grain yield and N requirements. Canopy sensing at V4 growth stage had the lowest utility to help improve corn N management. At later development stages, sensor’s performance was superior, but there is less flexibility to apply N. Applying N from V4 to V8 provided the best potential for sidedress application timings. Soil NO3--N measured at V4 stage from 0-30 cm depth showed potential by itself or in combination with early-season sensor measurements to improve corn fertilizer N.