Using an unmanned aerial vehicle to evaluate nitrogen variability and height effect with an active crop canopy sensor

Brian Krienke, Richard B. Ferguson, Michael Schlemmer, Kyle Holland, David Marx, Kent Eskridge

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Ground-based active sensors have been used in the past with success in detecting nitrogen (N) variability within maize production systems. The use of unmanned aerial vehicles (UAVs) presents an opportunity to evaluate N variability with unique advantages compared to ground-based systems. The objectives of this study were to: determine if a UAV was a suitable platform for use with an active crop canopy sensor to monitor in-season N status of maize, if UAV’s were a suitable platform, is the UAV and active sensor platform a suitable substitute for current handheld methods, and is there a height effect that may be confounding measurements of N status over crop canopies? In a 2013 study comparing aerial and ground-based sensor platforms, there was no difference in the ability of aerial and ground-based active sensors to detect N rate effects on a maize crop canopy. In a 2014 study, an active sensor mounted on a UAV was able to detect differences in crop canopy N status similarly to a handheld active sensor. The UAV/active sensor system (AerialActive) platform used in this study detected N rate differences in crop canopy N status within a range of 0.5–1.5 m above a relatively uniform turfgrass canopy. The height effect for an active sensor above a crop canopy is sensor- and crop-specific, which needs to be taken into account when implementing such a system. Unmanned aerial vehicles equipped with active crop canopy sensors provide potential for automated data collection to quantify crop stress in addition to passive sensors currently in use.

Original languageEnglish (US)
Pages (from-to)900-915
Number of pages16
JournalPrecision Agriculture
Volume18
Issue number6
DOIs
StatePublished - Dec 1 2017

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Zea mays
sensors (equipment)
Nitrogen
canopy
nitrogen
corn
unmanned aerial vehicles
turf grasses
crops
production technology
monitoring

Keywords

  • Active sensors
  • Imagery
  • Maize
  • Nitrogen variability
  • Unmanned aerial vehicle (UAV)

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)

Cite this

Using an unmanned aerial vehicle to evaluate nitrogen variability and height effect with an active crop canopy sensor. / Krienke, Brian; Ferguson, Richard B.; Schlemmer, Michael; Holland, Kyle; Marx, David; Eskridge, Kent.

In: Precision Agriculture, Vol. 18, No. 6, 01.12.2017, p. 900-915.

Research output: Contribution to journalArticle

Krienke, Brian ; Ferguson, Richard B. ; Schlemmer, Michael ; Holland, Kyle ; Marx, David ; Eskridge, Kent. / Using an unmanned aerial vehicle to evaluate nitrogen variability and height effect with an active crop canopy sensor. In: Precision Agriculture. 2017 ; Vol. 18, No. 6. pp. 900-915.
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