Our Solutions

RFID Cattle Tracking

This study on the feasibility of utilizing advanced Ultra High Frequency RFID technology in the cattle industry required a full-stack solution to be developed to provide validation that such technology would improve the industry at all levels. The cost of a single cow ready for slaughter can easily reach 3000 per animal. Ensuring the maximum viability of such a commodity is of paramount importance.

Our solution allowed for each individual animal to be tracked as it moved about the feedlot or auction house. Due to the use of RFID technology the time an animal spends feeding is easily determined and alerts can be sent out to alert workers if one isn’t eating or drinking required levels. This could indicate a sick animal and preemptive actions can be taken (get the animal treatment and return it to the herd) rather than reactive actions (finding the animal dead and losing all investment from that). The technology also allowed for optimization of feed costs by reducing feed waste and placing the more expensive feeds used for finishing to the most required places.

Our Findings

Traditional methods for monitoring health and wellness of herd animals sees the animals funneled into a “squeeze chute” system to inspect each animal individually. This would stress the animals out immensely and as a result the animals would lose about 2% of its body weight from such stressful actions. This would mean for an individual cow the sale price reduces by 100 dollars each time the animals needed to be inspected. With passive RFID the need for multiple inspections became virtually eliminated in feedlots implementing this solution. In addition the increased traceability features provided higher sale prices for animals using such a system with the push towards food safety and traceability concerns of modern tech savvy customers.

The Nu-Worx teams’ knowledge in RFID inventory management could easily see such a solution be implemented in a retail environment to track all such livestock based industries.