Multispectral and DSLR sensors for assessing crop stress in corn and cotton using fixed-wing unmanned air systems
| Autor: | James V. Henrickson, Yeyin Shi, Haly L. Neely, John Valasek, Cristine L.S. Morgan, Ezekiel Bowden |
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| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Engineering business.industry Multispectral image Crew ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology USable 020901 industrial engineering & automation Fixed wing Data quality Systems engineering Precision agriculture Soil moisture content business Throughput (business) Simulation |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.2228894 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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