Dairy farming in Wisconsin and across the United States is becoming increasingly complex. Farmers must balance animal health, milk production, feed efficiency, labor management, and environmental conditions—all while operating within tight financial margins. Modern precision technologies, such as wearable cow sensors and monitoring systems, have revolutionized the ability to collect detailed data on individual animals. These tools can track activity, eating behavior, rumination, and body temperature in real time. However, while this data is valuable, many farmers face a major challenge: turning that data into clear, timely decisions that improve herd performance and profitability.

The Farm GPT project is designed to solve this challenge by creating an intelligent, easy-to-use digital advisor for dairy farmers. This system uses advanced artificial intelligence—specifically a type of AI called a Large Language Model (LLM)—to analyze farm data and provide clear, practical recommendations. Instead of relying on complex dashboards or delayed reports, farmers and farm workers will be able to interact with the system like a conversation, asking questions and receiving real-time, easy-to-understand guidance. The goal is to move dairy management from a reactive process (responding after problems occur) to a proactive one (preventing problems before they happen).