Sabeethan Kanagasingham
Papers
1
Total Citations
96
H-Index
1
About
Sabeethan Kanagasingham is a researcher at the forefront of agricultural robotics and precision automation, with a primary focus on autonomous navigation systems for field operations. His most impactful contribution is the development of an integrated navigation framework for a rice field weeding robot, which combines machine vision-based row guidance with GPS and compass-based routing. This work, published in 2019 and cited 96 times, addresses the critical challenge of enabling robots to operate reliably in complex, unstructured agricultural environments. By fusing real-time visual data with geospatial positioning, Kanagasingham’s system achieves robust autonomous navigation, reducing the need for manual intervention and enhancing weeding efficiency. His research bridges computer vision, sensor fusion, and control systems, offering a scalable solution for sustainable farming. The high citation count reflects the work’s significance in advancing field robotics, particularly for paddy cultivation. Kanagasingham’s contributions are pivotal for students and researchers exploring autonomous agricultural machinery, demonstrating how integrated sensing can overcome real-world operational hurdles.
Research Focus
Key Achievements
Top Papers
- 1