Multispectral and DSLR sensors for assessing crop stress in corn and cotton using fixed-wing unmanned air systems

John Valasek; James V. Henrickson III; Ezekiel Bowden; Yeyin Shi; Cristine L. S. Morgan; Haly L. Neely

doi:10.1117/12.2228894

17 May 2016 Multispectral and DSLR sensors for assessing crop stress in corn and cotton using fixed-wing unmanned air systems

John Valasek, James V. Henrickson III, Ezekiel Bowden, Yeyin Shi, Cristine L. S. Morgan, Haly L. Neely

Author Affiliations +

Proceedings Volume 9866, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping; 98660L (2016) https://doi.org/10.1117/12.2228894
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

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.

Citation Download Citation

John Valasek, James V. Henrickson III, Ezekiel Bowden, Yeyin Shi, Cristine L. S. Morgan, and 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); https://doi.org/10.1117/12.2228894

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