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Developing Distinct Levels of Precision Nitrogen Management Strategies & Technologies for Corn in Minnesota

Start Date: 2019
Principal Investigators: Yuxin Miao
Organization: University of Minnesota
Status: Ongoing

Background Info

Three experiment sites were chosen in the corn growing season of 2019, including one research station of University of Minnesota, Wells Agriculture Experiment Station, and two private farms (Fig. 1). Randomized complete block design is adopted to study temporal spectral feature response to N of corn with three treatments (tillage, drainage, and N) at the Wells Agriculture Experiment Station. We conducted randomized strip block design for calibration strip-based PNM strategies at the two farms and testing other PNM strategies (Fig. 2). Because of no urea available for pre-plant N application, the pre-plant N application were postponed about two weeks after planting in Farm B. During N side-dress, variable rates of N in sub-strips assist in validating


1) Develop calibration strip-based PNM strategies for corn;

2) Develop crop growth model-based PNM strategies for corn;

3) Evaluate new proximal and UAV remote sensing systems for early and better diagnosis of corn nitrogen (N) status and develop crop sensing-based PNM algorithms and strategies;

4) Develop integrated PNM strategies for corn by combining crop modeling and remote sensing technologies;

5) Conduct on-farm experiments to evaluate distinct PNM strategies for the potential benefits in terms of corn yield, NUE, profitability and N losses.

Key Findings

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