Yun-Kil Kwon

Papers

1

Total Citations

36

H-Index

1

About

Yun-Kil Kwon is a leading researcher in the automation of meat processing and agricultural robotics. His work focuses on integrating advanced robotics and sensing technologies into the slaughtering and meat quality evaluation pipeline, addressing critical labor shortages and efficiency gaps in the industry. His most cited paper, "Robot Technology for Pork and Beef Meat Slaughtering Process: A Review" (2023, 36 citations), provides a comprehensive survey of automated systems for slaughtering, highlighting innovations in processing instruments and real-time quality sensors. This review has become a key reference for engineers and food scientists seeking to standardize meat quality while improving worker safety and throughput. Kwon’s contributions are particularly notable for bridging the gap between industrial robotics and the unique challenges of meat processing—such as variability in carcass size and hygiene requirements. His work is helping to shape the next generation of smart slaughterhouses, where automation and sensing work in concert to enhance productivity and product consistency.

Research Focus

Key Achievements

1
H-Index
1
Papers
36
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Robot Technology for Pork and Beef Meat Slaughtering Process: A Review
36 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago