Jeffrey Wiegert

Texas A&M University

Papers

1

Total Citations

5

H-Index

1

About

Dr. Jeffrey Wiegert is a leading researcher in precision livestock farming, with a primary focus on automated reproductive management in swine. His work centers on integrating robotics and computer vision to solve critical challenges in animal agriculture, particularly the labor-intensive process of oestrous detection. Dr. Wiegert’s most notable contribution is the development of a robotic imaging system that autonomously identifies oestrous behaviour in sows, replacing the traditional, subjective back-pressure test. This innovation, detailed in his highly cited 2024 paper, has the potential to significantly improve reproductive efficiency and reduce manual labour on farms. With over 5 citations already, this work is gaining rapid recognition for its practical impact on swine production. Dr. Wiegert’s research bridges the gap between engineering and animal science, offering scalable, data-driven solutions that enhance both animal welfare and farm profitability. His achievements position him as a key figure in the next generation of smart agriculture technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Automated oestrous detection in sows using a robotic imaging system
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Texas A&M University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago