Project Type: Professional Development Program
Funds awarded in 2022: $99,679.00
Projected End Date: 09/30/2025
Grant Recipient:
University of Arizona
Region: Western
State: Arizona
Principal Investigator:
Dr. Aaron Lien
University of Arizona
Co-Investigators:
Aaron Lien, Ph.D.
Arizona Board of Regents, University of Arizona
Andrew McGibbon
Santa Rita Ranch LLC
Flavie Audoin
The University of Arizona
Description:
A virtual fence (VF) system relies on livestock successfully recognizing an association between two cues – an auditory cue (beeping sound) and an electrical cue (electrical pulse) – originating from the GPS-enabled collars when the animal enters a boundary zone. Recognition of these cues is learned through training with classical conditioning and negative reinforcement. After training, livestock should respond to the auditory cue by changing direction away from the exclusion zone (Figure 1). If the association between cues is continuous, predictable, and controllable, a collar can influence livestock movement. Understanding how livestock recognize and interpret this association can limit potential risks for animal health and welfare. This factsheet provides an overview of the underlying learning methods (i.e., classical conditioning and negative reinforcement) used to train livestock.
Type:
Fact Sheet
Target audiences:
Farmers/Ranchers; Educators; Researchers
This product is associated with the project "Collaborative Training for Virtual Fencing Implementation for Sustainable Rangeland Management under Environmental Uncertainty"
Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and should not be construed to represent any official USDA or U.S. Government determination or policy.