Development of an Intelligent Monitoring System for Determining the Optimal Slaughter Time of Production Animals Using Computer Vision and Artificial Intelligence

Abstract

Beef cattle farming faces challenges in optimizing production while meeting demands for meat quality and animal welfare. This research developed an intelligent monitoring system based on computer vision and artificial intelligence to determine the optimal slaughter time for Nelore cattle. The system employs 3D cameras and deep learning algorithms to monitor animal development in real time, replacing traditional manual weighing and visual inspection methods. A cost-benefit analysis showed a return on investment (ROI) of 268.42% over five years, demonstrating financial viability, increased productivity, and improved meat quality, while reducing waste and improving animal welfare.