Papers
10
Total Citations
925
H-Index
7
About
Ohad Ben-Shahar is a leading figure in agricultural robotics, whose work bridges computer vision, manipulation, and autonomous navigation to solve critical challenges in modern farming. His research focuses on developing robust, vision-guided robotic systems for precision agriculture, with a major emphasis on fruit harvesting and high-altitude crop management. Ben-Shahar’s most impactful contribution is the development of the SWEEPER robot for harvesting sweet peppers in greenhouses (432 citations), a landmark project that integrated a custom end-effector with RGB-D perception. He has also advanced the field through comprehensive reviews of machine vision for harvesting robots (228 citations) and pioneered colour-agnostic, shape-based 3D fruit detection (100 citations), addressing the long-standing problem of illumination sensitivity. His work on controlled lighting for real-time target detection (68 citations) further enhances system reliability. Beyond harvesting, Ben-Shahar has developed domain-independent navigation systems and a scaled-down prototype for visually guided date palm tree spraying, tackling dangerous manual tasks at heights. His research has shaped the trajectory of agrobotics, making him a key innovator in bringing practical, economically viable automation to agriculture.
Research Focus
Key Achievements
Top Papers
- 1Development of a sweet pepper harvesting robot432 citations · 2020
- 2
- 3Colour-agnostic shape-based 3D fruit detection for crop harvesting robots100 citations · 2016
- 4
- 5Toward domain-independent navigation: dynamic vision and control38 citations · 2002
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- 8A Robotic Prototype for Spraying and Pollinating Date Palm Trees7 citations · 2008
- 9
- 10SWEEPER Sweet Pepper Harvesting Robot2 citations · 2015