Sharon Nissimov
Papers
1
Total Citations
67
H-Index
1
About
Sharon Nissimov is a researcher specializing in agricultural robotics and computer vision, with a particular focus on greenhouse automation. Her most impactful work, "Obstacle detection in a greenhouse environment using the Kinect sensor" (2015), has garnered 67 citations and established her as a key contributor to precision agriculture. This paper introduced innovative methods for using low-cost depth sensors to navigate complex, cluttered greenhouse environments, addressing critical challenges in autonomous crop monitoring and harvesting. Nissimov’s research bridges the gap between sensor technology and practical agricultural applications, enabling safer and more efficient robotic operations in controlled environments. Her contributions have been instrumental in advancing the field of agricultural robotics, particularly in obstacle avoidance and environmental perception. With a citation count reflecting the growing interest in sustainable farming technologies, Nissimov’s work continues to influence both academic research and industry practices, making her a notable figure in the intersection of robotics, sensor fusion, and smart agriculture.
Research Focus
Key Achievements
Top Papers
- 1Obstacle detection in a greenhouse environment using the Kinect sensor67 citations · 2015