Stefan Paulus

About

Stefan Paulus is a leading researcher at the intersection of plant phenotyping, precision agriculture, and agricultural robotics. His foundational work centers on developing non-destructive, high-throughput sensor technologies—particularly 3D laser scanning—to automate the analysis of plant structure and health. Paulus’s most influential contribution, his 2013 paper on surface feature-based classification of plant organs from 3D point clouds (186 citations), established a critical methodology for translating raw laser scans into meaningful phenotypic data, enabling automated growth observation and parameterization across scales. This work has become a cornerstone for digital plant phenotyping. More recently, Paulus has advanced the frontier of precision weeding, introducing a generalized concept for classifying the autonomy levels of weeding robots (2025) and integrating UAV monitoring to evaluate robotic performance in sugar beet farming. His research directly addresses the practical challenges of modern agriculture, from optimizing weed control efficacy to reducing herbicide use. By bridging geometric and spectral sensing with robotic automation, Paulus is shaping the future of sustainable, data-driven crop management.

Research Focus

Key Achievements

Top Papers

1. 1
   Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping

   186 citations · 2013
2. 2
   Special Issue: Digital Plant Pathology for Precision Agriculture

   11 citations · 2022
3. 3
   A Generalized Concept for Clustering Capabilities of Weeding Robots

   2 citations · 2025
4. 4
   Geometrische und spektrale Erfassung von Bestandeseigenschaften zur Phänotypisierung von Zuckerrüben und Weizen

   1 citations · 2019
5. 5
   Precision weeding in sugar beet farming: UAV monitoring of robotic systems

   1 citations · 2025

Key Collaborators

Contact & Links