This research introduces an ultra-wideband tracking system to detect heat stress in dairy cows through behavior monitoring. By analyzing movement patterns with 98% accuracy, it enables early intervention and targeted cooling. The solution improves animal welfare, boosts milk production, and helps farmers manage labor and efficiency challenges in modern dairy farming.

This study developed a real-time IoT-based system to optimize fishway performance in fragmented rivers. Using sensors, PIT-tag tracking, and machine-learning models, it links climate triggers with hydraulic controls. Adaptive sluice-gate regulation improved fish passage efficiency by 166% without reducing hydropower output, offering scalable, sustainable river management.