17 May 2016 Multispectral and DSLR sensors for assessing crop stress in corn and cotton using fixed-wing unmanned air systems
Author Affiliations +
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John Valasek, James V. Henrickson, Ezekiel Bowden, Yeyin Shi, Cristine L. S. Morgan, Haly L. Neely, "Multispectral and DSLR sensors for assessing crop stress in corn and cotton using fixed-wing unmanned air systems", Proc. SPIE 9866, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, 98660L (17 May 2016); doi: 10.1117/12.2228894; https://doi.org/10.1117/12.2228894
PROCEEDINGS
11 PAGES


SHARE
Back to Top