R. M. Rasika D. Abeyrathna
University of Peradeniya, University of Tsukuba, Tsukuba University of Technology
Papers
9
Total Citations
235
H-Index
6
About
R. M. Rasika D. Abeyrathna is a pioneering researcher in agricultural robotics and precision automation, with a focused expertise in computer vision, deep learning, and autonomous systems for orchard management. His work addresses some of the most pressing challenges in modern agriculture — labor shortages, aging workforces, and the demand for intelligent, unmanned harvesting systems. Abeyrathna's most influential contribution, "Faster-YOLO-AP," introduced a lightweight apple detection algorithm built on an improved YOLOv8 architecture, earning 113 citations and demonstrating his capacity to advance real-world deployable AI solutions. His 2023 study on 3D camera-based apple recognition for robotic harvesting platforms (54 citations) tackled the complex realities of dynamic orchard environments, including fruit clustering, variable illumination, and occlusion. Further cementing his impact, his intrarow weed detection work using instance segmentation (34 citations) opened new pathways for mechanical weed management in confined orchard rows. Beyond detection, Abeyrathna has contributed substantially to apple localization, 6-DoF manipulator path planning, and collision-free harvesting systems. His 2023 review of autonomous orchard robots offers a valuable roadmap for the field. With over 230 cumulative citations, his research portfolio positions him as an emerging leader shaping the future of intelligent agricultural automation.
Research Focus
Key Achievements
Top Papers
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- 7Industrial Robotic Arm for Chil l i Milling Process3 citations · 2020
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