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Proceedings Paper

Multispectral and DSLR sensors for assessing crop stress in corn and cotton using fixed-wing unmanned air systems
Author(s): John Valasek; James V. Henrickson; Ezekiel Bowden; Yeyin Shi; Cristine L. S. Morgan; Haly L. Neely
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Paper Abstract

As small unmanned aircraft systems become increasingly affordable, reliable, and formally recognized under federal regulation, they become increasingly attractive as novel platforms for civil applications. This paper details the development and demonstration of fixed-wing unmanned aircraft systems for precision agriculture tasks. Tasks such as soil moisture content and high throughput phenotyping are considered. Rationale for sensor, vehicle, and ground equipment selections are provided, in addition to developed flight operation procedures for minimal numbers of crew. Preliminary imagery results are presented and analyzed, and these results demonstrate that fixed-wing unmanned aircraft systems modified to carry non-traditional sensors at extended endurance durations can provide high quality data that is usable for serious scientific analysis.

Paper Details

Date Published: 17 May 2016
PDF: 11 pages
Proc. SPIE 9866, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, 98660L (17 May 2016); doi: 10.1117/12.2228894
Show Author Affiliations
John Valasek, Texas A&M Univ. (United States)
James V. Henrickson, Texas A&M Univ. (United States)
Ezekiel Bowden, Texas A&M Univ. (United States)
Yeyin Shi, Texas A&M Univ. (United States)
Cristine L. S. Morgan, Texas A&M Univ. (United States)
Haly L. Neely, Texas A&M Univ. (United States)

Published in SPIE Proceedings Vol. 9866:
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping
John Valasek; J. Alex Thomasson, Editor(s)

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