Predictive Analytics and Health Monitoring Integration in NextGen Smart TERRY: Ensuring Optimal Habitat for Bearded Dragons

This study integrates predictive maintenance and health monitoring systems into NextGen Smart TERRY, an automated habitat for bearded dragons. The objective was to leverage predictive analytics to enhance habitat conditions and reptile well-being. Predictive maintenance algorithms achieved a high prediction accuracy of 95.6%, with low false positive and negative rates. Health monitoring sensors, including temperature, humidity, UVB, infrared, heart rate, and activity levels, provided accurate and consistent data. Predictive models for environmental conditions demonstrated high accuracy, with temperature and light predictions at 96.2% and 95.8%, respectively. User evaluations indicated high satisfaction, particularly praising the system's accuracy, reliability, and valuable insights. Validation tests confirmed significant improvements over previous systems, especially in equipment failure prediction and environmental condition accuracy. This study concludes that integrating predictive maintenance and health monitoring in NextGen Smart TERRY effectively ensures optimal habitat conditions for bearded dragons, highlighting the potential of advanced analytics in automated animal care.