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Article
Use of high-resolution multispectral imagery from an unmanned aerial vehicle in precision agriculture
2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
  • Manal Al-Arab, Utah State University
  • Alfonso Torres-Rua, Utah State University
  • Andres Ticlavilca, Utah State University
  • Austin Jensen, Utah State University
  • Mac McKee, Utah State University
Document Type
Article
Publisher
The Institute of Electrical and Electronics Engineers
Location
Melbourne, VIC
Publication Date
7-21-2013
Abstract

Precision agriculture requires high spatial management of the inputs to agricultural production. This requires that actionable information about crop and field status be acquired at the same high spatial resolution and at a temporal frequency appropriate for timely responses. This paper presents some results from an on-going project to explore the use of imagery collected from the use of a small unmanned aerial vehicle, called AggieAir, to estimate plant nitrogen and chlorophyll at approximately 13-cm resolution for a field of oats served by a center pivot sprinkler system. When combined with appropriate analytic tools, the AggieAir imagery can be successfully used to estimate plant nitrogen and chlorophyll levels at much finer than 1-m resolution.

Citation Information
Manal Al-Arab, Alfonso Torres-Rua, Andres Ticlavilca, Austin Jensen, et al.. "Use of high-resolution multispectral imagery from an unmanned aerial vehicle in precision agriculture" 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (2013)
Available at: http://works.bepress.com/austin-jensen/45/