C. Kempenaar
Papers
4
Total Citations
138
H-Index
3
About
Dr. C. Kempenaar is a leading researcher in precision agriculture and weed management, with a focus on developing robotic and vision-based solutions for sustainable farming. Their major contributions include pioneering work on automated detection and control of broad-leaved dock (*Rumex obtusifolius* L.) in grassland, a persistent weed that is particularly challenging in organic farming systems. Dr. Kempenaar co-authored a landmark 2010 paper on a robot designed to detect and control this weed (73 citations), alongside a 2009 study on real-time vision-based detection (53 citations), both of which have become foundational references in the field of agricultural robotics. More recently, Dr. Kempenaar has advanced precision agriculture adoption in Serbia, analyzing barriers to uptake and promoting technological solutions through the BioSense Institute. Their work also extends to data interoperability, contributing to metadata standards for agricultural image datasets and deep learning algorithms under the Precision Agriculture 4.0 project. With a career spanning over a decade, Dr. Kempenaar’s research bridges robotics, computer vision, and agronomy, driving non-chemical weed control and data-driven farming innovations that are critical for global food sustainability.
Research Focus
Key Achievements
Top Papers
- 1
- 2Real‐time vision‐based detection of <i>Rumex obtusifolius</i> in grassland53 citations · 2009
- 3Opportunities for Precision Agriculture in Serbia10 citations · 2018
- 4