Presentation Title

UAVS and Precision Ranching; A Side-by-Side Visual Comparison of the Zenmuse X3 and X5 Cameras

Presenter Information

Chris Solecki

Location

House of Learning Library, 3rd floor

Start Date

18-3-2016 12:00 PM

End Date

18-3-2016 6:00 PM

Abstract

The use of unmanned aerial vehicles (UAVs) in agriculture to increase the efficiency of management is a relatively new and rapidly advancing field. Locating and identifying cattle provides producers with the ability to study and utilize spatiotemporal data from pasture and range livestock in order to better manage their herd, as well as locate missing animals. The use of UAVs to acquire this information is a more efficient method than a conventional ground based approach (on foot or horseback) as greater areas can be covered in less time. This research project will perform a side-by-side comparison between two aerial high definition cameras made by DJI: the Zenmuse X3 (12.4 Megapixels) and the Zenmuse X5 (16 Megapixels). Using the DJI Matrice 100, a small multi rotor UAV, the resolutions of the two cameras will be compared visually by viewing a range of ear tag sizes, as well as back tags at progressing height intervals. A laser range finder, as well as an onboard GPS module, will be utilized to monitor and record heights at increments of five meters. Clarity of imaging will be assessed in order to determine which sizes of tags are visible at which heights. This project will assess the capabilities and limitations of these aerial cameras with the goal of ultimately determining their use in the field as tools for precision ranching.

Department

Natural Resource Science

Faculty Advisor

John Church

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Mar 18th, 12:00 PM Mar 18th, 6:00 PM

UAVS and Precision Ranching; A Side-by-Side Visual Comparison of the Zenmuse X3 and X5 Cameras

House of Learning Library, 3rd floor

The use of unmanned aerial vehicles (UAVs) in agriculture to increase the efficiency of management is a relatively new and rapidly advancing field. Locating and identifying cattle provides producers with the ability to study and utilize spatiotemporal data from pasture and range livestock in order to better manage their herd, as well as locate missing animals. The use of UAVs to acquire this information is a more efficient method than a conventional ground based approach (on foot or horseback) as greater areas can be covered in less time. This research project will perform a side-by-side comparison between two aerial high definition cameras made by DJI: the Zenmuse X3 (12.4 Megapixels) and the Zenmuse X5 (16 Megapixels). Using the DJI Matrice 100, a small multi rotor UAV, the resolutions of the two cameras will be compared visually by viewing a range of ear tag sizes, as well as back tags at progressing height intervals. A laser range finder, as well as an onboard GPS module, will be utilized to monitor and record heights at increments of five meters. Clarity of imaging will be assessed in order to determine which sizes of tags are visible at which heights. This project will assess the capabilities and limitations of these aerial cameras with the goal of ultimately determining their use in the field as tools for precision ranching.