Isao Ohmura
Papers
2
Total Citations
8
H-Index
2
About
Isao Ohmura is a robotics and agricultural automation researcher whose work focuses on developing intelligent vision systems and autonomous machines for precision agriculture. His primary research areas include stereo vision sensing, field robotics, and weed management in specialty crops. Ohmura’s most notable contribution is the development of a weeding robot for vineyards in Hokkaido, where labor shortages make manual weed eradication difficult. His system uses a multi-link manipulator paired with a stereo camera to detect and locate grape stems, enabling precise, non-destructive weeding. This work has been cited 5 times and addresses a critical need in large-scale viticulture. Additionally, Ohmura advanced real-time stereo vision by implementing an Orientation Code Matching (OCM) algorithm on an FPGA platform. This sensor achieves high-performance, flexible image matching, offering a robust solution for real-time robotic perception. With 3 citations, this work demonstrates his skill in bridging hardware and software for practical robotics. Ohmura’s contributions are valuable for students and researchers interested in agricultural robotics, embedded vision systems, and the application of computer vision to field automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2