Seong-Un Park

Papers

1

Total Citations

10

H-Index

1

About

Seong-Un Park is a leading researcher in precision agriculture and digital farming, with a focus on machine vision and sensor fusion for automated crop monitoring. His work addresses the critical challenge of accurately measuring crop height in robot-based cultivation systems, where uneven terrain often compromises 3D imaging accuracy. Park’s most cited paper, “Crop Height Measurement System Based on 3D Image and Tilt Sensor Fusion” (2020, 10 citations), introduces an innovative method that integrates 3D cameras with tilt sensors to correct for camera misalignment caused by irregular ground surfaces. This fusion approach significantly enhances the reliability of crop height data, a key parameter for yield estimation and growth monitoring. By enabling more robust, field-ready sensing for agricultural robots, Park’s contributions support the broader adoption of digital farming technologies. His work is particularly valuable for researchers and engineers developing autonomous systems for sustainable crop management, bridging the gap between laboratory precision and real-world agricultural conditions.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Crop Height Measurement System Based on 3D Image and Tilt Sensor Fusion
10 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago