Niels Wouters

KU Leuven

Papers

2

Total Citations

232

H-Index

2

About

Niels Wouters is a researcher whose work bridges the cutting edge of agricultural technology and high-precision medical robotics. His primary research areas include computer vision for precision agriculture and the design of robotic systems for delicate surgical interventions. Wouters’ most impactful contribution is his work on automated fruit detection, exemplified by his highly cited 2016 paper, “Detection of red and bicoloured apples on tree with an RGB-D camera,” which has garnered 147 citations. This research provides a foundational method for using RGB-D cameras to identify and locate apples in complex orchard environments, a key step toward robotic harvesting. In a striking demonstration of his versatility, Wouters also made significant contributions to medical robotics. His 2013 paper, “Design and realisation of a novel robotic manipulator for retinal surgery,” with 85 citations, addresses the extreme challenge of retinal cannulation for treating Retinal Vein Occlusion (RVO). This work showcases his ability to engineer solutions for procedures too delicate and risky for human hands, highlighting his impact across both agriculture and life-saving medical applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
232
Total Citations
116
Avg Citations/Paper
🏆 Most Cited Paper
Detection of red and bicoloured apples on tree with an RGB-D camera
147 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: KU Leuven

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago