Koen van Boheemen
Papers
4
Total Citations
229
H-Index
3
About
Koen van Boheemen is a leading researcher in agricultural robotics and precision farming, with a focus on autonomous navigation and intelligent weed management. His work centers on developing robotic systems that can operate in challenging orchard environments, significantly reducing labor costs and environmental impact. Van Boheemen’s most impactful contribution is his 2019 paper on robot navigation in orchards using Particle filter and Kalman filter localization, which has garnered 150 citations and established a foundational method for reliable autonomous movement in agricultural settings. He further advanced the field with his 2020 study on application-specific evaluation of weed-detection algorithms for plant-specific spraying, cited 68 times, demonstrating how precise weed targeting can drastically cut herbicide usage while maximizing crop yield. His earlier work on autonomous in-row navigation using 2D LIDAR scanners and particle filters, though less cited, addresses critical safety and operability issues in mountainous orchards. Van Boheemen also contributes to standardization efforts, proposing architecture principles for vision-based applications in agriculture to accelerate technology adoption. His research bridges the gap between robotics, computer vision, and sustainable agriculture, making him a key figure in the push toward fully autonomous, eco-friendly farming systems.
Research Focus
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Top Papers
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