Arkar Minn
Papers
1
Total Citations
54
H-Index
1
About
Arkar Minn is a leading researcher in agricultural robotics and precision agriculture, with a primary focus on developing intelligent perception systems for automated fruit harvesting. His work centers on the integration of 3D vision technologies and deep learning algorithms to solve the critical challenges of real-time fruit detection and localization in dynamic, unstructured orchard environments. Minn’s most impactful contribution, detailed in his highly cited 2023 paper (54 citations), addresses the formidable task of recognizing and counting apples from a moving robotic platform. He pioneered methods to overcome persistent obstacles such as fruit occlusion by branches and foliage, variable lighting, and low sensor resolution, enabling accurate 3D positional estimation essential for successful robotic grasping. This work directly advances the viability of autonomous harvesting systems, a key goal for modern agriculture. By combining computer vision with robotic manipulation, Minn’s research provides foundational solutions that improve both the efficiency and reliability of fruit picking, significantly reducing labor dependency and post-harvest losses. His contributions are shaping the future of smart farming and sustainable food production.
Research Focus
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Top Papers
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