Quantifying corn nitrogen deficiency and application rate with active canopy sensors

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dc.contributor.author Sawyer, John
dc.contributor.author Sawyer, J.
dc.contributor.author Barker, D.
dc.contributor.author Barker, Daniel
dc.date 2018-08-10T18:54:10.000
dc.date.accessioned 2020-06-30T04:44:20Z
dc.date.available 2020-06-30T04:44:20Z
dc.date.issued 2010-12-01
dc.description.abstract <p>Precision agriculture technologies are an integral part of many crop production operations. However, implementation for N application has lagged, primarily due to lack of a viable system for variable N rate decisions. Active canopy sensors have been developed as a tool to determine plant N stress deficiency and provide an on-the-go decision for implementing variable rate. Two general approaches could be implemented. One is to plan on conducting canopy sensing each year, with a reduced N rate applied preplant, at planting, or early sidedress and then sensing conducted at mid-vegetative growth to determine additional application need. A second is to conduct sensing only if conditions result in N loss from the primary N application, or other factors change expected crop requirements. Both approaches could address variable N fertilization and seasonal circumstances.</p>
dc.identifier archive/lib.dr.iastate.edu/icm/2010/proceedings/25/
dc.identifier.articleid 1054
dc.identifier.contextkey 10972963
dc.identifier.doi https://doi.org/10.31274/icm-180809-51
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath icm/2010/proceedings/25
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/43917
dc.source.bitstream archive/lib.dr.iastate.edu/icm/2010/proceedings/25/ICM_2010_025.pdf|||Fri Jan 14 22:56:33 UTC 2022
dc.subject.disciplines Agriculture
dc.subject.disciplines Agronomy and Crop Sciences
dc.title Quantifying corn nitrogen deficiency and application rate with active canopy sensors
dc.type event
dc.type.genre event
dspace.entity.type Publication
relation.isAuthorOfPublication 17ce8a78-56b3-47be-abcb-b22968be40f2
relation.isAuthorOfPublication 9c31ee99-d456-4aef-8e50-5c46e4e21cd7
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