Multi-sensor Fusion-based Cow Health Monitoring IoT System

With the development of the Internet of Things (IoT), digital technology has been adopted on livestock farms. In this study, a system for monitoring the health status of dairy cows is proposed, utilizing multi-type sensor fusion and IoT technology. The system uses physiological and behavioral data obtained from a tail sensor attached to the cows to establish prenatal and estrus prediction models. Additionally, environmental sensors installed in the barn monitor parameters such as temperature, humidity, carbon dioxide concentration, and organic gas concentration to automatically regulate the barn's fan and sprinkler based on preset threshold values. The system also monitors the health and tail behavior of the cows and predicts their calving and estrus times based on the collected data. Experimental results demonstrate that the system exhibits high accuracy and reliability in monitoring the health of dairy cows.