Frísia Cooperative Implements AI for Dairy Cow Monitoring

Frísia, a cooperative in Brazil, has expanded its use of artificial intelligence to monitor 23,500 dairy cows, including Holstein and Jersey breeds. This initiative involves the installation of electronic collars on cows during lactation, dry periods, and on heifers 30 days before calving. These devices track various activities such as movement, rumination, feed intake frequency, rest periods, and breathing patterns.

The collected data is transmitted to antennas located on the farms and processed through a digital platform accessible to both the producers and the cooperative's technical team via mobile devices. According to the cooperative, the most noticeable impacts of this technology are in the fields of reproduction and animal health.

By receiving alerts from the system, the precision in detecting estrus has improved, decreasing reliance on visual observation alone for determining the optimal time for insemination. Additionally, the system's capability to identify behavioral changes before visible clinical signs appear allows for preventative measures and timely interventions, thereby supporting animal health monitoring.

The Monitore Project, aimed at integrating technology adoption with continuous monitoring, has reached more than half of the cooperative's producers and accounts for nearly 70% of the milk delivered to the industry. This initiative underscores how technological and continuous monitoring support can extend the reach of proactive herd management tools within cooperative systems.