50 / 2025-04-11 15:41:49

A Machine Vision and Signal Analysis -Based Android Application for Real-Time Cow Respiratory Rate Monitoring

Cow,Heat stress,Respiratory rate monitoring,Android deployment

3. 智慧牧场与动物福利 > （2）智慧养殖的大数据、机器学习和物联网应用

Heat stress in dairy cows significantly affects animal health and production performance, leading to decreased milk yield, reduced reproductive efficiency, and impaired immune function. Since heat stress assessment is a crucial step in developing effective mitigation strategies, monitoring physiological parameters becomes essential to optimize cow welfare and enhance farm productivity. This study developed a smartphone-compatible monitoring system that synergizes computer vision algorithms with signal processing modules, enabling real-time detection of dairy cow respiratory rate under field conditions. Specifically, we proposed an enhanced YOLO v8n lightweight architecture to address the computational resource constraints of mobile devices. Integration of PP-LCNet for backbone reconstruction to achieve model lightweighting. Introduction of LSK blocks in the neck structure to enhance contextual feature extraction. Compared to the baseline YOLOv8n model, our optimized framework demonstrates a 0.8% improvement in mean Average Precision (mAP) while reducing model size by 41.4%. Followed by Lucas-Kanade optical flow analysis to quantify abdominal movements. A multi-stage filtering system including Kalman and Butterworth filtering was developed to eliminate noise artifacts and motion interference from the abdominal fluctuation signals. The implemented system achieved RR estimation with an MAE of 2.22 bpm and RMSE of 2.7 bpm compared with gold standard measurements. The above monitoring system was deployed on Android devices using Android Studio and demonstrated real-time monitoring capability with an average processing speed of 20 FPS. Therefore, this study developed a mobile cow respiration monitoring system that can provide a reliable technological solution for heat stress management on farms.