China has introduced a smart device designed to help farmers monitor cows’ health and predict when they are about to give birth. The technology uses sensors and artificial intelligence to identify changes in animals’ physical signs and behavior.
The smart tail ring was unveiled on October 25 at the 33rd Yangling Agricultural Hi-Tech Fair in Shaanxi province. It aims to give farmers early warnings about calving and potential health problems. The device could help improve livestock management and reduce the need for constant physical monitoring.
The ring combines motion, temperature and pulse-wave sensors to collect information about a cow’s condition. It weighs approximately 300 grams and sends the collected data to an artificial intelligence model. The system analyzes behavioral patterns and health indicators before alerting farmers when an animal may need attention.
According to the reported testing results, the device was evaluated across more than 1,800 calving cases. It achieved an accuracy rate of 88% in predicting calving events. The system can reportedly forecast the beginning of labor up to 2.5 hours in advance.
The technology also aims to help identify subclinical mastitis, a form of udder inflammation that may not show obvious symptoms. The device can reportedly flag potential cases up to 36.5 hours before they become apparent. Early warnings could allow farmers to arrange veterinary checks and respond to possible health concerns sooner.
China’s smart tail ring is designed to make livestock monitoring more efficient. Instead of relying entirely on visual observation, farmers could use alerts to identify animals requiring closer attention. However, the device’s warnings would not replace professional veterinary examinations or confirm a diagnosis on their own.
The estimated starting price is around 1,000 yuan, equivalent to approximately $140 per device. The ring can reportedly be rotated among eight to 15 cows over the course of a year. This approach could make the technology more affordable for farms managing multiple animals.
The device reflects growing interest in applying artificial intelligence and sensor-based monitoring to agriculture. Such systems can help farmers gather information about livestock without continuously observing each animal. Their practical value will depend on reliability, ease of use and performance under different farming conditions.
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As China continues exploring smart agricultural technologies, devices like this could offer farmers another way to manage livestock health and reproduction. Further use and evaluation will help determine how effectively the technology performs across different herds and farming environments.
