The LOSAE system, developed by researchers at the University of Michigan, revolutionizes object search in agricultural environments using large language models (LLMs) and AI-driven semantic reasoning. Unlike traditional search methods, LOSAE predicts object locations based on relationships, improving search accuracy and efficiency. Real-world testing on the Boston Dynamics Spot robot demonstrated an 80% success rate, outperforming conventional techniques. Future advancements, including Vision-Language Models (VLMs) and AI-driven grasping, will further enhance agricultural automation.