Ronja Güldenring

Ronja Güldenring is a Postdoctoral Researcher (Researcher) in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), focusing on robotics, computer vision, and machine learning applications for agricultural and laboratory automation systems.

She completed her Ph.D. in 2024 at DTU with the thesis "Perception for Precision Agriculture Robotics using Deep Learning". Her educational background centers on advanced robotics and computer vision methodologies.

Her research spans:

• Robotics and Autonomous Systems for Agriculture
• Computer Vision (Foundation Models, Instance Segmentation)
• Machine Learning (Contrastive Learning, Multitask Learning)
• Precision Agriculture and Weed/Disease Detection
• Plant Phenotyping and Fine-grained Analysis
• Vision-based Robot Manipulation

Recent publications (2024-2025) demonstrate strong emphasis on adapting foundation vision models (DINOv2) and knowledge distillation for agricultural robotics. Her work addresses weed/disease identification, plant part segmentation, and transparent object manipulation using multitask learning to enhance robustness in real-world agricultural environments.

Scientific Awards: None mentioned in available sources.

As lead PhD student (2020-2024) in "Machine Learning-based Weed Detection for Agricultural Robotics", she developed datasets (RumexLeaves, RumexWeeds) and collaborated internationally with supervisors including Nalpantidis, Boukas, and Ravn. Current work involves grant-funded projects on agricultural robotics and educational platform development.

She is embedded in DTU's Perception and Cognition for Autonomous Systems research group, developing intelligent systems for agricultural robotics and laboratory automation with international collaborators.