Fang-Fan Lee
Papers
2
Total Citations
47
H-Index
2
About
Fang-Fan Lee is a pioneer in the application of machine vision to agricultural automation, with a specific focus on the precision handling of Phalaenopsis orchids. His research lies at the intersection of computer vision, robotics, and horticultural engineering, where he has developed intelligent systems to solve the delicate challenge of automating tissue culture transplanting. Lee’s most impactful work, "An automatic machine vision-guided grasping system for Phalaenopsis tissue culture plantlets" (2009, 40 citations), established a foundational framework for identifying and manipulating fragile plantlets without damage. In a complementary study (2008, 7 citations), he devised an image-processing algorithm that segments plantlet components and pinpoints a suitable grasping point on the roots by analyzing skeletal node geometry. This work directly addresses a critical bottleneck in commercial orchid propagation, replacing manual labor with precise, non-destructive robotic handling. Lee’s contributions have significantly advanced the field of agricultural robotics, offering scalable solutions for high-value horticulture. His research remains essential reading for engineers and scientists developing vision-guided systems for automated plant production.
Research Focus
Key Achievements
Top Papers
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- 2