Drones for cattle monitoring: locating animals without guessing

Finding cattle across several paddocks can take time, particularly when parts of the land are difficult to see from a track. A drone can add another viewpoint. The useful result is a location and a clear statement of what was observed, rather than a confident-looking count with no indication of blind spots.

Start by distinguishing three tasks: locating a group, estimating how many animals are visible and identifying individual animals. Each requires different evidence. A distant image that shows a herd near a water point may be adequate for the first task and inadequate for the other two.

Define what the flight can actually see

Mark paddocks, tree cover, sheltered corners and other areas likely to be obscured. Plan which areas can be observed from suitable stand-off positions and which still need a ground visit. Keep a simple coverage record: checked, partly visible or not checked.

Record the observation time. Animals can move between passes, so adding counts from overlapping images can count the same animal twice. A useful review should explain how overlap and movement were handled. When that cannot be established, report an estimate or a location rather than an exact whole-farm count.

Match the camera to the question

Colour imagery provides visual context: field boundaries, gates, tracks and the appearance of visible animals. Thermal imaging can be another search aid when the conditions provide useful contrast. It does not make every concealed animal visible or remove the need to confirm what a shape represents.

Utah State University Extension has examined thermal-camera drones in cattle roundup. Treat that as evidence of a specific application, not a guarantee of performance on a different farm, camera or landscape. Test your own observation conditions before relying on a sensor for a routine check.

Build the routine around the animals

Plan the trial with the person responsible for livestock. Begin with a conservative observation approach and watch for changes in behaviour. If animals react, stop the attempt and reassess the distance, route and suitability of the task. Do not make chasing or moving animals an accidental consequence of a monitoring flight.

Choose the launch area so that take-off and landing do not disrupt routine handling. Keep the operational area clear and make sure farm staff know when a flight is planned. A successful image is not a good result if obtaining it causes unnecessary disturbance.

Make the report honest about uncertainty

A useful entry might read: “Group observed in the north paddock at 08:20. West tree line partly obscured. Individual count unconfirmed.” That is actionable. “All cattle healthy” goes far beyond what a routine aerial image can establish.

• Retain the image supporting each location.
• State whether a count was reviewed by a person.
• Flag obscured areas for follow-up.
• Use ground checks for welfare concerns or unresolved absences.

Measure the benefit against the existing check

During a trial, compare the drone-assisted search with the normal livestock routine. Include setup, supervision, review and any ground follow-up in the time record. Keep track of missed observations and false alarms. Ask whether the information arrived early enough to change the day’s work.

The best starting goal is often to identify where a group is located, while preserving established welfare checks. More ambitious counting or individual-identification features should earn trust through repeated comparisons with known ground observations.