Beyond Proximity: A Keypoint-Trajectory Framework for Classifying Affiliative and Agonistic Social Networks in Dairy Cattle

This article describes a research paper on using AI to analyze social interactions in dairy cattle. The focus is on moving beyond simple proximity to understand more complex social dynamics, classifying networks as affiliative or agonistic. The use of a keypoint-trajectory framework suggests a computer vision approach to tracking and analyzing the animals' movements and interactions. The source being ArXiv indicates this is a pre-print or research paper.

• •The research uses AI to analyze social behavior in dairy cattle.
• •It moves beyond simple proximity analysis.
• •A keypoint-trajectory framework is used, likely involving computer vision.
• •The goal is to classify social networks as affiliative or agonistic.