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Canopy sensing for corn nitrogen recommendations: Does it work?
Author(s) -
Bean C. Mac,
Kitchen Newell R.
Publication year - 2018
Publication title -
crops and soils
Language(s) - English
Resource type - Journals
eISSN - 2325-3606
pISSN - 0162-5098
DOI - 10.2134/cs2018.51.0602
Subject(s) - canopy , nitrogen , plant canopy , fertilizer , environmental science , agricultural engineering , work (physics) , agronomy , computer science , remote sensing , geography , engineering , archaeology , biology , chemistry , mechanical engineering , organic chemistry
In conjunction with canopy sensor reflectance measurements, a canopy sensor algorithm is used to formulate a nitrogen fertilizer recommendation. One such algorithm is the University of Missouri corn canopy sensor algorithm (ALG MU ). The purpose of this study was to (1) evaluate the ability of the ALG MU to estimate the economical optimal N rates (EONR) across the U.S. Midwest Corn Belt and (2) improve the ALG MU performance using site‐specific soil and weather information. Earn 0.5 CEUs in Nutrient Management by reading this article and taking the quiz at www.certifiedcropadviser.org/education/classroom/classes/628 .