Sarin Suriyakoon

King Mongkut's University of Technology North Bangkok

Papers

Total Citations

H-Index

About

Sarin Suriyakoon is a researcher specializing in agricultural robotics and precision farming, with a focus on vision-based navigation systems for autonomous field robots. Their most cited work, "Leading point based interrow robot guidance in corn fields" (2017, 11 citations), introduces a novel method for guiding mobile robots between rows of medium-sized corn plants. This approach leverages vision-based techniques to maintain the robot's position along the interrow centerline, addressing key challenges in crop row detection and real-time control. Suriyakoon’s contribution is significant for advancing autonomous weeding, monitoring, and harvesting in row crops, reducing reliance on manual labor and improving efficiency. By developing robust guidance algorithms that adapt to varying plant sizes and field conditions, their work has laid groundwork for scalable precision agriculture solutions. Though early in their career, Suriyakoon’s research demonstrates practical impact, offering a foundation for future innovations in field robotics and smart farming systems.