Papers
5
Total Citations
171
H-Index
4
About
Cengiz Koparan is a leading researcher at the intersection of agricultural robotics, precision agriculture, and autonomous systems, with a particular focus on sustainable weed management and environmental monitoring. His work has made significant strides in developing intelligent technologies that reduce chemical inputs while improving farm efficiency. Koparan's highly cited 2024 systematic review on ground robotic technologies for precision weed management (87 citations) has become an essential reference for researchers navigating the rapidly evolving landscape of autonomous agricultural systems, synthesizing advances in navigation, imaging sensors, and weed control strategies. His innovative 2020 work on adaptive water sampling devices for aerial robots (49 citations) demonstrated his broader commitment to environmental stewardship, enabling precise, cost-effective water quality monitoring through drone-based collection systems. More recently, his development of an edge computing-based smart sprayer system using machine vision and deep learning (27 citations) addresses critical challenges of herbicide overuse and resistance. Through pioneering applications of hyperspectral imaging and robotic platforms for multi-species weed classification, Koparan continues pushing the boundaries of precision agriculture, offering practical, data-driven solutions with meaningful environmental and economic impact.
Research Focus
Key Achievements
Top Papers
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- 2Adaptive Water Sampling Device for Aerial Robots49 citations · 2020
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