Performance and Endurance Training for Equine Racing (PETER)

Leveraging the Internet of Things (IoT) technologies into farming domains contribute significantly in more productive and sustainable farming activities. The concept of Smart stable depends on smart devices with the Internet connection to monitor and control the stable system and its animals. This paper proposes this method to provide the farmer and the horse trainer with an automated process to perform their daily activities to take better decisions or more efficient exploitation operations and management. In addition to that, the proposed system with being powered with artificial intelligence (AI) component able to absorb new horse health status updates then combines it with knowledge learned from historical records to predict the horse readiness for participating in training or real race sessions. The system equipped with sensors to detect physical data from the real world such as the speed of the horse, temperature, heartbeats, recovery time. Gathered data flows feed an advanced visualization dashboard based on Kibana, while another branch of data flow feeds the AI component.