IoT Livestock Estrus Monitoring System based on Machine Learning

Machine learning is an artificial intelligence technology that analyzes data and builds data-based models, and its role in Internet-of-Things (IoT) applications is growing. In current ranches, artificial insemination is performed to make cows pregnant. Accurate estrus detection of cows is essential for the success in artificial insemination. The traditional method to detect estrus of cows is visual observation, whose success rate largely depends on the observers' experience and the frequency of observation. The integration of IoT and machine learning enables livestock diseases and estrus to be predicted. Livestock activity was measured by acceleration sensors attached to animals. Then, a system was created that can identify atypical symptoms such as those of disease and estrus. To predict calving dates in breeding cows, behavioral patterns were analyzed using machine-learning algorithms. Finally, only simple judgments by owners are required to decide whether artificial insemination will be performed.