Arjan Vroegop
Papers
1
Total Citations
44
H-Index
1
About
Arjan Vroegop is a leading researcher at the intersection of robotics, computer vision, and agricultural science, with a primary focus on high-throughput phenotyping and precision agriculture. His most influential work, "Automatic Phenotyping of Tomatoes in Production Greenhouses Using Robotics and Computer Vision: From Theory to Practice" (2021, 44 citations), bridges the critical gap between laboratory-based automation and real-world farming applications. Vroegop’s major contribution lies in developing robust, field-deployable systems that enable breeders to automatically measure traits of interest—such as fruit size, color, and yield potential—directly in commercial greenhouses. This approach not only accelerates genetic selection but also provides growers with actionable predictions for crop management. By demonstrating that computer vision and robotic platforms can operate reliably under the variable lighting and occlusion conditions of production environments, Vroegop has helped move agricultural robotics from theoretical promise to practical impact. His work is particularly notable for its emphasis on scalability and economic viability, making advanced phenotyping accessible to both large breeding programs and individual growers. With a growing citation record that reflects the urgent need for automation in sustainable food production, Vroegop continues to shape how technology can meet the demands of modern agriculture.
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Top Papers
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