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Commercial agriculture has come under increasing pressure to reduce nitrogen fertilizer inputs in order to minimize potential non-point source pollution of ground and surface waters. This has resulted in increased interest in site-specific fertilizer management. This research aimed to develop techniques for real time assessment of nitrogen status of corn using a mobile sensor with the potential to regulate nitrogen application based on data from that sensor. Specifically, the research attempted to determine the system parameters necessary to optimize reflectance spectra of corn plants as a function of growth stage and nitrogen status. An adaptable, multi-spectral sensor and the signal processing algorithm to provide real time, in-field assessment of corn nitrogen status were developed.

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