A Real-Time Smart Animal Health Monitoring System Using Raspberry Pi

– The integration of digital technologies in animal husbandry has become vital to address health challenges in livestock caused by climate change, zoonotic diseases, and inefficiencies in traditional health monitoring. This research describes the development of a Smart Animal Health Monitoring System (AHMS) that uses the computing power of Raspberry Pi and sensor-based data collection to monitor physiological parameters in real-time. The system continuously tracks important health metrics such as body temperature, heart rate, blood oxygen levels (SpO₂), and activity. GPS and GSM modules provide location tracking and alert notifications. With machine learning models for health predictions and detecting anomalies, the system supports early intervention, improves animal welfare, and lowers veterinary costs. The design focuses on modularity, scalability, and affordability, making it a good fit for both small and large livestock operations. Practical tests and simulations show the system’s accuracy, usability, and potential to change animal healthcare in both rural and industrial contexts.