
A computer vision system designed for precision livestock farming. It uses YOLOv8 and convolutional neural networks to process real-time video feeds, allowing for the identification, tracking, and behavioral analysis of individual animals. The architecture runs in edge computing environments, collecting health and productivity data locally to enable data-driven decisions in dairy production.