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Article
The Next Step Beyond Identifying Field Variability: Integrating Unmanned Aerial Systems Into the Farm Management Workflow
Proceedings of the Association for Unmanned Vehicle Systems International Xponential (2018)
  • Kevin A. Adkins, Embry-Riddle Aeronautical University
  • Christen C. Bailey, Embry-Riddle Aeronautical University
  • Aspen E. Taylor, Embry-Riddle Aeronautical University
Abstract
Precision agriculture strives to manage variations in the field in order to increase yield while adapting input factors to preserve resources and decrease production costs. Unmanned aerial systems (UAS) are advancing precision agriculture by allowing for nondestructive and convenient, as well as cost and time efficient mapping of spatial variation in fields with higher spatial resolution than previous methods. However, while there is much anticipation regarding the potential role for UAS in precision agriculture, their role still requires additional application-based testing. The objective of this work was to explore how growers best integrate the UAS product into their farm workflow. Two on-farm investigations were undertaken with vegetable growers for the duration of a growing season. Combinations of two unique unmanned aircraft (UA) platforms fitted with two different multispectral sensors were used to gather spectral reflectance data. The investigations found that the UAS product enabled the growers to optimize their field management practices, while overcoming a labor shortage, and create a more sustainable operation.
Keywords
  • Aerospace,
  • Agriculture
Publication Date
May, 2018
Citation Information
Kevin A. Adkins, Christen C. Bailey and Aspen E. Taylor. "The Next Step Beyond Identifying Field Variability: Integrating Unmanned Aerial Systems Into the Farm Management Workflow" Proceedings of the Association for Unmanned Vehicle Systems International Xponential (2018)
Available at: http://works.bepress.com/kevin_a_adkins/8/