Hongyoung Jeon

Agricultural Research Service, Urbana University, University of Illinois Urbana-Champaign, United States Department of Agriculture

Papers

Total Citations

187

H-Index

About

Hongyoung Jeon is a pioneering researcher in agricultural robotics and precision weed management, whose work sits at the intersection of computer vision, machine learning, and autonomous farming systems. Jeon's most celebrated contribution is a robust image processing algorithm for crop and weed segmentation under uncontrolled outdoor illumination, published in 2011 and garnering 134 citations — a testament to its lasting influence in the field. This work introduced an innovative pipeline incorporating normalized excessive green conversion, adaptive image segmentation, and morphological feature analysis, setting a new standard for real-world agricultural image processing. Beyond vision systems, Jeon has made substantial strides in developing complete robotic weed control platforms. His research on direct chemical application end effectors and individual weed treatment systems using robotic arms demonstrates a commitment to translating computer vision insights into practical, field-deployable solutions. Notably, his 2005 system combined mechanical cutting with targeted micro-dosing of chemicals, reflecting an early and sophisticated approach to sustainable, herbicide-minimizing agriculture. Collectively, Jeon's body of work has helped lay the technological groundwork for precision weeding robots that are increasingly vital to modern, environmentally conscious farming.