Bhola Paudel
Papers
1
Total Citations
7
H-Index
1
About
Bhola Paudel is a researcher at the forefront of agricultural robotics and computer vision, with a focused expertise in deep learning for precision harvesting. His work addresses a critical challenge in robotic strawberry harvesting: the accurate detection and localization of the peduncle—the stem connecting the fruit to the plant—to enable damage-free picking. In his highly cited 2025 paper, Paudel introduced an innovative approach using DF-Mask R-CNN combined with monocular depth estimation to pinpoint picking points with remarkable accuracy. This contribution is vital for developing gentle, efficient harvesting systems that can grasp and cut the peduncle without bruising the delicate fruit. With 7 citations in a short time, his research is gaining rapid recognition for its practical impact on agricultural automation. By solving the core problem of precise peduncle detection, Paudel is helping to bridge the gap between computer vision algorithms and real-world robotic applications, making him a promising voice in the field of smart farming.
Research Focus
Key Achievements
Top Papers
- 1