Papers
4
Total Citations
118
H-Index
3
About
Byeong-Hyo Cho is a leading researcher in agricultural robotics and precision farming, with a focus on automating greenhouse operations to address labor shortages and aging farming populations. His work centers on developing intelligent monitoring and harvesting systems for high-value crops like tomatoes and oriental melons. Cho’s major contributions include the creation of a monitoring robot system for hydroponic tomato greenhouses—cited 71 times—which integrates deep learning for efficient crop tracking. He also pioneered the use of snapshot-type hyperspectral imaging combined with machine learning to classify tomato maturity and predict internal quality indices such as soluble solids content and moisture content in melons, each paper garnering 22 citations. Additionally, Cho implemented a 3D location detection embedded system for tomato harvesting robots using low-cost, compact hardware like the NVIDIA Jetson Xavier NX. His work bridges computer vision, robotics, and non-destructive sensing, enabling automated, data-driven decisions in agriculture. With a growing citation record, Cho’s research is pivotal for advancing smart farming technologies that enhance productivity and sustainability.
Research Focus
Key Achievements
Top Papers
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