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Yang, C
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Authors
Nigon, T
Kaiser, D
Yang, C
Mulla, D
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Type
Poster
Year
2017
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1. Active and Passive Spectral Sensing for Predicting the Optimum Nitrogen Rate and Timing in Corn

There are many in-season plant diagnostic tools available for predicting the rate and timing of in-season nitrogen fertilizer in corn (Zea mays L.). However, soils in Southern Minnesota are generally high in organic matter and can carry over nitrate- nitrogen from one season to the next. Subsequently, there is oftentimes sufficient soil nitrogen early in the growing season to supply much of the crop requirement, limiting the use of sensor-based N management tools. Past work... T. Nigon, D. Kaiser, C. Yang, D. Mulla