Thijs Ruigrok
Papers
1
Total Citations
68
H-Index
1
About
Thijs Ruigrok is a leading researcher in precision agriculture and robotic weed control, with a focus on bridging the gap between computer vision and real-world farming applications. His work centers on developing and rigorously evaluating weed-detection algorithms for plant-specific spraying, a critical step toward reducing herbicide usage while maximizing crop yield. His most cited paper, "Application-Specific Evaluation of a Weed-Detection Algorithm for Plant-Specific Spraying" (2020, 68 citations), challenges conventional image-level metrics by proposing application-specific evaluation methods that better reflect actual field performance. This contribution has helped shift the field toward more practical, deployment-oriented assessments of automated weeding systems. Ruigrok’s research directly addresses the dual challenges of minimizing labor costs and environmental impact in modern agriculture. By emphasizing the importance of evaluating algorithms in the context of their intended use—rather than in isolation—he has provided a framework that is now widely referenced by researchers developing precision spraying technologies. His work is essential reading for anyone interested in the intersection of robotics, computer vision, and sustainable farming.
Research Focus
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Top Papers
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