Papers
20
Total Citations
846
H-Index
12
About
F.K. van Evert is a pioneering researcher at the intersection of agricultural robotics, precision farming, and intelligent weed management. His work has fundamentally advanced the field of smart farming by developing autonomous robotic systems capable of navigating complex field environments, with landmark contributions to particle filter and Kalman filter-based robot localization in maize fields and orchards — papers that have collectively garnered over 300 citations. Van Evert's early and sustained focus on vision-based weed detection, particularly targeting the persistent grassland weed *Rumex obtusifolius*, laid the groundwork for site-specific, reduced-herbicide interventions, an approach he later formalized in his advocacy for truly integrated weed management systems. His comprehensive 2020 analysis of over 1,000 smart farming technologies — cited 135 times — demonstrates both his broad command of the field and his attention to real-world economic, environmental, and labor implications. Further contributions include deep learning applications for broccoli harvest robotics and economic analyses of robotic seeding, reflecting a career-long commitment to translating cutting-edge technology into practical, sustainable agricultural solutions. His body of work makes him an essential reference for anyone studying agricultural automation and precision crop management.
Research Focus
Key Achievements
Top Papers
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- 5Real‐time vision‐based detection of <i>Rumex obtusifolius</i> in grassland53 citations · 2009
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- 10Robotic Seeding: Economic Perspectives28 citations · 2017