Jaspreet Dhupia
Papers
1
Total Citations
43
H-Index
1
About
Dr. Jaspreet Dhupia is a leading researcher in agricultural robotics and precision automation, with a primary focus on developing intelligent systems for fruit harvesting. His most impactful work addresses the critical challenge of robotic apple picking, where labor shortages during harvest season drive the need for automated alternatives. Dr. Dhupia’s major contribution lies in enhancing fruit detection and localization accuracy—a fundamental bottleneck for robotic harvesting. His highly cited 2021 paper, “An improved binocular localization method for apple based on fruit detection using deep learning” (43 citations), demonstrates a novel integration of deep learning-based fruit detection with stereo vision to achieve precise 3D localization of apples. This work directly improves the reliability of robotic pickers by ensuring that detection accuracy translates into actionable spatial data for grasping. Beyond this, Dr. Dhupia’s research spans sensor fusion, machine vision, and control systems for agricultural robots, with his publications collectively influencing the design of more robust, field-ready harvesting systems. His contributions are pivotal for advancing sustainable agriculture, reducing reliance on manual labor, and enabling scalable automation in fruit production.
Research Focus
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Top Papers
- 1