Smart Feeding: Integrating Deep Learning into Dairy Farm Practices

This paper introduces a novel approach to precision cow feeding forecasting through the application of machine vision and deep learning technologies. The research addresses the critical need for efficient and accurate monitoring of dairy cow feeding behaviors, essential for optimizing milk production and ensuring animal welfare. Leveraging advanced image processing algorithms and the YOLOv8 model, the system achieves real-time, non-invasive tracking of feeding times, providing farmers with actionable insights to adjust feed schedules and compositions. By accurately quantifying feed intake and detecting deviations in feeding patterns, the proposed solution aids in early detection of health issues, potentially saving significant costs associated with livestock diseases. Furthermore, this work contributes to sustainable dairy farming practices by enhancing feed utilization efficiency. The implementation showcases the scalable application of computer vision in livestock management, demonstrating significant promise for improving the productivity and sustainability of dairy operations.