Grant: College - University Idea to Innovation Grants
Thompson Rivers University
$219,124.00
Development of Unmanned Aerial Vehicles for Precision Cattle Ranching
FY 2017-18
Summary
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.
Program
College - University Idea to Innovation Grants
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
487012-2015
Name nom
Church, JohnScott
Department département
Natural Resource Sciences
Organization id
1809
Institution établissement
Thompson Rivers University
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2015
Award amount
219124
Program id
CUI2I
Program name en
College - University Idea to Innovation Grants
Program name fr
Subventions De l'idée à innovation pour les universités et les collèges
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1576
Committee name en
College-University Idea to Innovation grants
Committee name fr
Subventions De l'idée à innovation pour les universités et les collèges
Area of application code
101
Area of application group en
Agriculture and primary food production
Area of application group fr
Agriculture et produits alimentaires primaires
Area of application en
Animal production and animal primary products
Area of application fr
Production animale et produits animaux primaires
Research subject code
1200
Research subject group en
Agricultural engineering
Research subject group fr
Génie rural
Research subject en
Agricultural engineering
Research subject fr
Génie rural
Partie
2
Nb partie
3
Application title
Development of Unmanned Aerial Vehicles for Precision Cattle Ranching
Keyword
NSERC
Application summary
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.