Papers
1
Total Citations
18
H-Index
1
About
Jin Kwan Son is a leading researcher in agricultural robotics, with a primary focus on automating grafting processes for fruit vegetables. His most notable contribution is the development of an automatic grafting robot that leverages image recognition technology to enhance precision and reduce failure rates. In his landmark 2019 study, which has garnered 18 citations, Son addressed the critical challenge of aligning scions and rootstocks with varying stem diameters—such as tomatoes (2.5±0.3 mm scions, 3.1±0.7 mm rootstocks) and cucumbers (2.2±0.2 mm scions, 3.6±0.3 mm rootstocks)—demonstrating how machine vision can optimize cutting and joining actions. This work directly tackles labor shortages in horticulture and improves grafting efficiency, a key bottleneck in high-yield vegetable production. Son’s research bridges computer vision and mechanical engineering, offering scalable solutions for modern agriculture. His achievements highlight a commitment to practical, data-driven innovations that reduce manual labor while increasing crop resilience. For students and researchers, Son exemplifies how interdisciplinary approaches—merging robotics, image processing, and plant science—can transform traditional farming practices into smart, automated systems.
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