Summer 2025: Enhancing Dairy Farm Efficiency through Computer Vision and AI

Affiliations:	STEM Research Leadership
Project Leader:	Neupane Rajesh rajesh@tamu.edu Animal Science
Faculty Mentor:	Sushil Paudyal, Ph.D.
Meeting Times:	TBA
Team Size:	8
Open Spots:	0
Special Opportunities:	Satisfactory work would automatically lead to the co-author, and possibility of attending conferences.
Team Needs:	Must have a programming experiences in any one of the languages, python, R, C++, beginner level proficiency can apply. Willingness to learn and adapt to new ideas
Description:	This innovative project aims to support dairy farming by leveraging advanced computer vision and artificial intelligence (AI) technologies. By analyzing video footage from robotic milking parlors, the initiative seeks to assess the impact of heat stress on cattle, improve animal welfare, and optimize operational efficiency. Additionally, the project explores the potential of large language models (LLMs) in enhancing decision-making processes within dairy operations. 1. Impact of Heat Stress Evaluation: – Utilize computer vision techniques to analyze video footage captured during summer months. – Calculate robotic time occupancy and assess its impact on cattle behavior and milk production under heat stress conditions. – Develop strategies to mitigate heat stress effects, enhancing animal comfort and productivity. 2. Panting Condition Measurement: – Implement computer vision algorithms to measure the panting condition of dairy cattle by extracting features from mouth movements and muzzle condition. – Use these insights to monitor animal welfare and identify early signs of distress or health issues. 3. Exploration of LLMs in Dairy Farming: – Investigate the application of large language models to improve communication, data analysis, and decision-making processes on dairy farms. – Explore how LLMs can assist in automating routine tasks, providing real-time insights, and supporting farm management practices. Significance: This project promises significant advancements in dairy farming by integrating cutting-edge technologies to enhance animal welfare, increase operational efficiency, and support sustainable agricultural practices. By addressing the challenges posed by environmental stressors such as heat, this initiative aims to create a more resilient and productive dairy industry for the future.