Theoretical basis for sensor-based in-season nitrogen management

V.I. Adamchuk

Theoretical basis for sensor-based in-season nitrogen management

In: Precision agriculture '13

Author:

V.I. Adamchuk

V.I. Adamchuk McGill University, Ste-Anne-de-Bellevue, QC, H9X 3V9, Canada; viacheslav.adamchuk@mcgill.ca

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Type:: Chapter

Pages:: 403–410

DOI:: https://doi.org/10.3920/9789086867783_051

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Managing nitrogen fertilization of corn and other crops during the vegetation stages is a growing practice implemented to increase the efficient use of nitrogen. Active crop canopy sensing has been employed to adjust nitrogen application rates in response to the spatial variability of vegetation growth. Several different application algorithms have been developed to convert sensor measurements into optimized nitrogen application rates. While assuming a second-order polynomial and plateau crop response function, this paper illustrates the derivation of a decision-support function to account for changes in fertilizer and crop prices. Increases in the fertilizer-to-crop cost ratio tend to cause a negative offset to the recommended N application rate. With further evaluation in terms of uncertainties as well as the effects of soil and weather, these results can be used to develop profit-maximizing, sensor-based algorithms for in-season nitrogen management.

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Precision agriculture '13

E-Book ISBN:: 9789086867783

Publisher:: Wageningen Academic

Print Publication Date:: 01 Nov 2013

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Theoretical basis for sensor-based in-season nitrogen management

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Precision agriculture '13

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