Virtual fencing systems are tools that utilize digital fence boundaries with global positioning system (GPS)-enabled collars or ear tags to manage the movement of grazing animals. While design and connectivity can vary by vendor, virtual fencing systems work through the same principles. A GPS-enabled device is fitted to livestock, often as a collar. This collar communicates the livestock position to an online management platform either via a tower or cellular service. These platforms are used to create virtual fences, contain animals (in or out of designated areas) and even move animals (with assisted move features).
Virtual fence devices are often worn as collars on livestock. All vendors provide collars designed for cattle, while some vendors offer separate collars for small ruminants. It is not recommended to fit virtual fencing collars to calves (general consideration: under 500 lb) due to calves’ growth requiring frequent adjustments to fit. When fitted to yearlings, these devices will require adjustment during the grazing season to maintain optimal fit. The devices are powered by batteries, which may be recharged by built-in solar panels or replaced as needed.
Virtual fence devices utilize GPS to determine the position of the livestock and administer various cues to manage them. Management cues include auditory tones and electrical cues. All cues are designed to be safe and provide effective stimuli. The energy equivalent for the electric cue is similar to a 6-to 8-volt electric fence, depending on the manufacturer and livestock class. Auditory and electrical cues are only administered when an animal enters or approaches the set boundaries. An auditory cue warns the animal that it is approaching a boundary. If the animal continues towards or past the boundary, an electrical cue (or in combination with the auditory cue) is administered to deter further movement past the boundary. These cues are direction-sensitive and will not activate as animals move back into the desired area. Additionally, electrical cues are limited for animal welfare and deactivated if a cue threshold is met.
Livestock require training to effectively respond to virtual fence cues. The training period is used to teach animals to associate the auditory and electrical cues with physical fences. During the training period, a smaller, fenced area is required to ensure animals interact with virtual fence boundaries often enough to learn the cues. During the initial phase, the virtual fence boundary should overlay (be in close proximity or overlap) the existing physical fences to positively reinforce livestock responses to the cues when interacting with virtual fencing boundaries. Subsequently, the virtual fence boundaries are moved away from the physical fences to encourage learning of the cues. Once livestock are trained, virtual fencing is just as effective as electrical fencing options, ranging from 80%-99% effectiveness, depending on the grazing strategy and class of livestock. Ongoing research at North Dakota State University and the University of Nebraska — Lincoln has observed up to 99% effective containment when strip-grazing annual forages.
Virtual fences can be designed based on the management goals for each pasture. Most commonly, virtual fencing programs offer three types of fencing: inclusion zones, exclusion zones and movement fences. Inclusion zones are used to confine livestock within a set boundary, fencing them in. Inclusion zones are best used for creating grazing allotments under different intensive grazing practices. Exclusion zones are used to prevent livestock from entering an area by fencing them out. Exclusion zones are useful for protecting sensitive areas, such as riparian areas or wetlands. Movement fences slowly push a boundary in one direction. Movement fences are helpful in moving cattle to new paddocks or towards corrals. Using the correct virtual fence function is important, as virtual fences are one-way only: they provide stimuli as livestock approach the boundary of the restricted area, but not when animals return to the designated grazing area.
All virtual fence systems have a website-based or mobile app where managers can outline fences on their property, view animal location and check the status of their devices. Virtual fencing devices communicate either through a cellular or long-range wide-area network (LoRaWAN) tower. Cellular-enabled devices communicate directly with the platform and do not require a separate base station with an antenna to transmit data. While smartphones need strong 5G/LTE coverage for calls and texts, virtual fence devices can operate on lower-bandwidth networks such as 3G or 4G because they transmit only tiny bits of data. That means they often stay connected in places where phone service might fail.
Cellular connectivity may be limited or unavailable in some areas. This issue can be overcome with LoRaWAN-enabled devices, which communicate via radio to a base station placed near the grazing area, then transmits the data via cellular data. These base stations can aid in connectivity in areas with poor cellular signal. In principle, a LoRaWAN tower can easily cover a 2- to 3-mile radius, assuming flat terrain with no major obstacles; additional obstacles and terrain changes correspondingly reduce the tower’s coverage.
Yearling heifer fitted with a virtual fencing collar. Collars may need to be adjusted throughout the grazing season following gain or loss of condition. Collars should allow a full range of movement without excess space.
Visualization of virtual fencing management cues. The blue zone shows an auditory cue and the yellow zone an electrical cue. If livestock continue through each zone, cues are provided in a cycle until the animal responds positively or a safety limit is reached. Some manufacturers use a time-series approach for stimuli without articulated distance designated to audio/electric zones(e.g., three audio cues followed by an electric cue).
Inclusion fences (left) keep livestock within the set boundaries. Exclusion fences (right) prevent livestock from entering the boundaries.