The management of horse stables is essential to guarantee the health, welfare, and performance of horses. Existing techniques for tracking the environment and physiological well-being often rely on manual observations, which are time-consuming, error-prone, and unable to provide real-time information. This research introduces a Smart Stable Management System (SSMS) that enables monitoring of environmental and physiological features of horses via the Internet of Things (IoT) and, consequently, emergency optimization of stable conditions and enhancement of animal welfare. The system will be based on a network of IoT sensors that will continuously monitor vital environmental factors, such as temperature, humidity, ammonia concentrations, and air quality, within the stable. Wearable systems continuously record horse-specific physiological signs, including heart rate, body temperature, respiratory rate, and activity levels. The data from these sensors is broadcast in real time to a central dashboard, allowing stable managers and veterinarians to view the horses' health remotely and identify early indicators of stress, disease, or unfavorable environments. The SSMS uses automated alarms to inform caregivers of abnormal readings, enabling them to take early measures to reduce health risks. Moreover, trend identification and informed decision-making for feeding schedules, ventilation control, and general stable maintenance are possible through cloud-based analysis of historical data. Its pilot installation at a sample equestrian facility demonstrates that the IoT-enabled solution enhances proactive care, improves animal comfort, and reduces labor-intensive monitoring. The research indicates the potential of IoT-based solutions in contemporary equestrian management to mitigate the gap between traditional stable management and the application of digital innovation. The Smart Stable Management System enhances animal welfare while increasing operational efficiency, preventive care, and informed decision-making on horse farms.
Keywords: Smart Stable Management (SSM), IOT, Monitoring Environmental (ME), Physiological Parameters (PP), Horses (HH)
Keywords: horses, chronic recurrent cecal impaction, surgical treatment enlargement cecocolic orifice, long-term survival