Lilong Chai

University of Georgia

Papers

3

Total Citations

37

H-Index

3

About

Lilong Chai is a pioneering researcher at the intersection of precision agriculture and artificial intelligence, with a primary focus on transforming modern poultry farming through cybernetic and robotic systems. His work addresses critical challenges in cage-free housing, particularly the automated detection of dead chickens and floor eggs—problems that have long plagued the industry. Chai’s major contributions include the development of computer vision-based cybernetics systems that integrate convolutional neural networks (CNNs) with intelligent bionic quadruped robots for real-time, precision monitoring. His most cited paper, a 2024 critical review on computer vision for poultry farming, has garnered 24 citations, establishing a foundational framework for the field. Chai has also explored the transformative potential of Artificial General Intelligence (AGI) in agriculture, envisioning systems that could revolutionize not only poultry management but broader agri-food sectors. With emerging work in 2025 demonstrating robotic machine vision methods for dead chicken and floor egg detection, Chai is driving a shift from reactive to predictive management in livestock production. His research is essential reading for students and engineers seeking to understand how AI, robotics, and cybernetics are converging to create smarter, more sustainable farming systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
37
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Computer Vision-Based cybernetics systems for promoting modern poultry Farming: A critical review
24 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: University of Georgia

Top Papers

  1. 1
  2. 2
    AGI for Agriculture
    8 citations · 2023
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago