Masahiko Suguri
Papers
12
Total Citations
188
H-Index
8
About
Masahiko Suguri is a leading researcher in agricultural robotics, with a primary focus on autonomous systems for rice harvesting. His work centers on developing intelligent, self-navigating combine harvesters that can operate with minimal human intervention, addressing critical labor shortages in Japanese agriculture. Suguri’s major contributions include the creation of an integrated operation framework for autonomous harvesting, which automates the entire workflow from field navigation to grain unloading and homing. He pioneered the use of RTK-GPS and GPS compass sensors for precise path-following control, achieving reliable straight-line and turning maneuvers in head-feeding combine robots. His research also advanced computer vision for agricultural applications, including deep-learning-based obstacle detection for collision avoidance and image processing for ridge/furrow discrimination. Notably, his 2020 paper on deep-learning obstacle detection has garnered 42 citations, while his foundational 2017 operation framework paper has 34 citations, reflecting the field’s strong interest in his systematic approach. Suguri’s work has extended to remote monitoring via web applications and efficient grain container searching, demonstrating a comprehensive vision for fully automated, safe, and practical robotic harvesting systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Rice Autonomous Harvesting: Operation Framework34 citations · 2017
- 3Advanced Harvesting System by using a Combine Robot21 citations · 2013
- 4Path-Following Control of a Head-Feeding Combine Robot20 citations · 2013
- 5Remote Monitoring of Agricultural Robot using Web Application18 citations · 2013
- 6
- 7
- 8Efficient searching for grain storage container by combine robot8 citations · 2014
- 9
- 10Path Following Control for Head-feeding Combine Robot4 citations · 2013