Yanqiu Yang
Specialization: Precision Beef Systems & Sustainability
My research focuses on precision beef systems and the development of sustainable, data-driven technologies for animal agriculture. I integrate artificial intelligence (AI), computer vision, robotics, and advanced sensing technologies to improve animal health monitoring, automate labor-intensive tasks, and support data-driven decision-making in livestock production systems.
My work aims to develop intelligent tools that enable continuous monitoring of animal health and behavior, enhance production efficiency, and support sustainable management practices in beef cattle operations. By combining engineering innovation with animal science, my research contributes to the advancement of precision livestock farming and next-generation digital agriculture systems.
Precision Livestock Farming and Precision Beef Systems; Artificial Intelligence and Computer Vision in Agriculture; Robotics and Automation for Agricultural Systems; Sensor-Based Monitoring for Animal Health, Welfare, and Sustainability
Precision Livestock Farming (PLF); developing a new course, Next-Gen Farm: AI in Ag, designed to equip students with skills in data-driven animal agriculture, artificial intelligence, sensing technologies, and emerging digital farming systems.
- How can artificial intelligence and computer vision enable continuous, noninvasive monitoring of cattle health, behavior, and welfare?
- How can advanced sensing technologies (e.g., hyperspectral imaging and environmental sensors) improve early detection of disease and physiological stress in livestock?
- How can robotics and automation reduce labor demands and improve efficiency in livestock production systems?
- How can emerging digital agriculture technologies improve the sustainability and resilience of livestock production systems?
2506 River Drive
Knoxville, TN 37996
- Small Unmanned Aircraft Remote Pilot Certificate, Federal Aviation Administration, Issued 1/28/2023
- PhD, Agricultural and Biological Engineering, The Pennsylvania State University, 2025
- MSE, Mechanical Engineering, China Agricultural University, 2019
- MS, Applied Mechatronic Engineering, Haper Adams University, 2018
- BE, Mechanical and Electronics Engineering, China Agricultural University, 2016
Yanqiu Yang
2506 River Drive
Knoxville, TN 37996
- Small Unmanned Aircraft Remote Pilot Certificate, Federal Aviation Administration, Issued 1/28/2023
- PhD, Agricultural and Biological Engineering, The Pennsylvania State University, 2025
- MSE, Mechanical Engineering, China Agricultural University, 2019
- MS, Applied Mechatronic Engineering, Haper Adams University, 2018
- BE, Mechanical and Electronics Engineering, China Agricultural University, 2016
My research focuses on precision beef systems and the development of sustainable, data-driven technologies for animal agriculture. I integrate artificial intelligence (AI), computer vision, robotics, and advanced sensing technologies to improve animal health monitoring, automate labor-intensive tasks, and support data-driven decision-making in livestock production systems.
My work aims to develop intelligent tools that enable continuous monitoring of animal health and behavior, enhance production efficiency, and support sustainable management practices in beef cattle operations. By combining engineering innovation with animal science, my research contributes to the advancement of precision livestock farming and next-generation digital agriculture systems.
Precision Livestock Farming and Precision Beef Systems; Artificial Intelligence and Computer Vision in Agriculture; Robotics and Automation for Agricultural Systems; Sensor-Based Monitoring for Animal Health, Welfare, and Sustainability
Precision Livestock Farming (PLF); developing a new course, Next-Gen Farm: AI in Ag, designed to equip students with skills in data-driven animal agriculture, artificial intelligence, sensing technologies, and emerging digital farming systems.
- How can artificial intelligence and computer vision enable continuous, noninvasive monitoring of cattle health, behavior, and welfare?
- How can advanced sensing technologies (e.g., hyperspectral imaging and environmental sensors) improve early detection of disease and physiological stress in livestock?
- How can robotics and automation reduce labor demands and improve efficiency in livestock production systems?
- How can emerging digital agriculture technologies improve the sustainability and resilience of livestock production systems?