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Virtual Fence

Infographics

Todd Winslow Pierce, EagleValleyWild.org

Infographics

Virtual Fence User Guide

Explore the resources available on the Virtual Fence User Guide on Rangelands Gateway including factsheets, videos, webinars, tools, and more.

Published by:

The University of Arizona

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Basics of Virtual Fence

Explore the basic components of virtual fence (VF) and how it work.

Published by:

The University of Arizona

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The Role of High-Quality Data

Key GIS data needed to create an accurate high-quality digital GIS map.

Published by:

The University of Arizona

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Collar Deployment Basics

Overview of collar components and suggestions for collaring animals and proper fit.

Published by:

The University of Arizona

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Training and Animal Welfare

Best practices for animals to learn that a beeping cue implies an upcoming electrical cue.

Published by:

The University of Arizona

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Collar Management Strategies

Collars should be well managed from start to finish to maximize the precision livestock management benefits.

Published by:

The University of Arizona

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Complexities and Challenges

Special emphasis is needed for fence design, managing incentives, and gathering livestock.

Published by:

The University of Arizona

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There are several companies that manufacture hardware and software including eShepherd™ from Gallagher™, Halter™, Nofence™, and Vence™. Virtual fence components from different manufacturers are generally not interoperable or interchangeable. Specific components, GIS data needs, software protocol, software training, frequency and duration of the cues, GPS error, livestock collaring, and livestock training protocols may vary depending on the manufacturer. Follow the manufacturer’s recommendations and guidelines. The University of Arizona and The Rangelands Partnership do not endorse a specific product.

This material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under award number 2021-38640-34695 through the Western Sustainable Agriculture Research and Education program under project number WPDP22-016. USDA is an equal opportunity employer and service provider. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture.

This work is supported by the AFRI Foundational and Applied Science Program: Inter- Disciplinary Engagement in Animal Systems (IDEAS) [award no. 2023-68014-39715] from the USDA National Institute of Food and Agriculture.

Additional funding for the University of Arizona’s Virtual Fence program was provided by Arizona Experiment Station, the Marley Endowment for Sustainable Rangeland Stewardship, Arizona Cooperative Extension, and The Nature Conservancy.