Halter in a nutshell
- The Halter system includes a collar per cow, a Halter app on the farmer’s phone, and a communications network on each farm.
- Cows learn over a short training period to respond to two primary cues - sound and vibration. Through learning, these cues become predictable and controllable for cows. The training takes approximately 7 days for dairy cows, and 10 days for beef cattle.
- Sound cues guide animals left and right if they cross a virtual boundary. Vibration cues encourage animals to walk in the correct direction.
- The collar also has a secondary cue - a low-energy electric pulse - used to reinforce the primary cues if cows choose to ignore them. The pulse is mainly used during the training period, and thereafter only when animals choose to ignore the guidance cues. It is significantly weaker in energy than the ‘shock’ from a standard electric fence.
- Once trained, the guidance cues that a typical cow receives each day are almost entirely sound and vibration. These cues typically make up only 1.6 minutes per day per cow, so for over 99% of the day the typical cow does not experience any cues.
- Halter follows a set of standards and safeguards to ensure that animal welfare is protected when training, containing and guiding animals with virtual fencing technology (see Section 3).
- Users can continuously monitor their animals’ location and behaviour (dairy and beef cattle), while Halter can alert users to dairy cows potentially showing signs of poor health and dairy cows on heat.
- Our team works closely with an independent Veterinary Advisory Board composed of six leading veterinarians in dairy husbandry, production and animal welfare who advise our team across a range of areas.
- Halter also partners with leading animal behaviour experts from the Tasmanian Industry of Agriculture on research studies focused on pastoral dairy cows and virtual fencing technology.
- Halter has one of the largest datasets on cow behaviour in the world, with hundreds of millions of cow-days of data. Halter uses this data to do extensive research on animal behaviour, health and welfare.












