Bikash Nakarmi
Papers
1
Total Citations
7
H-Index
1
About
Bikash Nakarmi is a leading researcher in agricultural robotics and computer vision, with a primary focus on developing intelligent systems for precision harvesting. His work addresses the critical challenge of automating the picking of delicate fruits, particularly strawberries, where bruise-free harvesting requires precise localization and manipulation. Nakarmi’s major contribution is the development of DF-Mask R-CNN, a deep learning framework that integrates instance segmentation with monocular depth estimation to accurately detect strawberry peduncles—the key picking point for robotic grippers. This innovation, detailed in his 2025 paper, has already garnered 7 citations, reflecting its immediate impact on the field. By enabling robots to identify and grasp the peduncle rather than the fragile fruit itself, Nakarmi’s research directly advances the feasibility of commercial robotic harvesting, reducing crop damage and labor costs. His work stands out for its practical application of state-of-the-art computer vision techniques to real-world agricultural problems, making him a notable figure in the intersection of AI and sustainable farming.
Research Focus
Key Achievements
Top Papers
- 1