Development of Unmanned Aerial Vehicles for Precision Cattle Ranching

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Every year many British Columbia ranchers experience difficulty in retrieving cow/calf pairs off range, andspend tremendous manpower looking for lost cattle. New methods will be explored for the successful detectionof cattle, and potentially even gathering and moving the animals on range, by unmanned aerial vehicles. Wewill develop for the cattle industry unmanned aerial vehicles (UAVs) that are equipped with Radio FrequencyIdentification (RFID) antennae that are able to quickly detect the location of cattle that have ultra highfrequency (UHF)RFID ear tags. The project will demonstrate the value and quality of the data, the tolerance ofthe animals to the vehicles, and the value of the integrated UAV/UHF-RFID system for improved managementof beef cattle in extensive grazing systems. We will test the best type of craft to carry the radio-frequencyantennae. Flight paths will be either pre-programmed with waypoint software or flown manually. Some of thesystems' features, which will be tested, include: height and distance limits, return-to-home, auto-takeofflanding, automated collision avoidance, along with the accuracy of field detection of cattle by the craft. Inaddition, the value of additional on board sensors including multi spectral imaging and infrared thermographywill be tested on the unmanned aerial vehicles. And finally, we will determine the best type of UHF-RFID tagto use in the cattle ears with the UAV multi-rotor system. Our industry collaborator in Golden, BritishColumbia will provide the site locations and cattle in order to demonstrate this technology. Success will bedetermined by successfully identifying the location of cattle from the air via radio frequency identification bythe UAV, along with successfully matching the location to the GPS on board the craft and visual confirmationof cattle by the UAV via video down-link. In addition, we will use multi spectral imagery via a specializedcamera on board to do range and pasture assessment through data-processing of images collected duringmapping flights.