CheeTown Liew

University of Nebraska–Lincoln

Papers

1

Total Citations

14

H-Index

1

About

Dr. CheeTown Liew is at the forefront of precision agriculture, pioneering the integration of robotics and deep learning to revolutionize weed management. Their key research areas encompass computer vision, automated agricultural systems, and sustainable crop protection. Dr. Liew’s major contribution is the development of a targeted weed management system for Palmer amaranth—one of the most destructive agronomic weeds—using the YOLOv7 deep learning architecture. This work, published in 2024 and already garnering 14 citations, demonstrates how robotics can achieve precise, selective herbicide application, drastically reducing chemical use and environmental harm while minimizing crop damage. By moving beyond indiscriminate spraying, Dr. Liew’s innovation offers a scalable, sustainable solution to a pressing global challenge. Their research not only advances the field of agricultural robotics but also provides a practical pathway toward eco-friendly farming, making them a rising leader in smart agriculture.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Targeted weed management of Palmer amaranth using robotics and deep learning (YOLOv7)
14 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Nebraska–Lincoln

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago