Keigo Yanagida

Papers

1

Total Citations

6

H-Index

1

About

Keigo Yanagida is a researcher specializing in acoustic positioning systems, with a particular focus on agricultural and greenhouse environments. His work addresses the critical challenge of accurate localization in complex, dynamic settings where traditional GPS-based methods often fail. Yanagida’s most notable contribution is the development of a self-calibration method for sound-based positioning systems, detailed in his 2013 paper, which has garnered 6 citations. This method enables autonomous correction of sensor errors, improving reliability and reducing manual intervention—a key advancement for precision agriculture. By leveraging acoustic signals, his research offers a cost-effective, robust alternative for tracking equipment, monitoring crop conditions, or guiding autonomous vehicles within greenhouses. Yanagida’s work bridges the gap between sensor technology and practical agricultural needs, demonstrating how sound-based localization can enhance efficiency in controlled environments. His contributions are particularly valuable for researchers exploring low-cost, scalable solutions in smart farming and environmental monitoring.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Design of Self-calibration Method for Sound-based Positioning System in Greenhouse
6 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 8

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago