Ribana Roscher

Prof. Ribana Roscher is a leading researcher at Forschungszentrum Jülich's Institute of Bio- and Geosciences (IBG), specifically within the Plant Sciences (IBG-2) department. Her work bridges plant sciences and data science, focusing on sustainable agriculture and bioeconomy solutions.

• Expertise: Data Science, Machine Learning, Biology, Plant Research, Bioeconomy
• Contact: Building 06.2 / Room 305, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, 52428 Jülich, Germany

Research Focus: Roscher's group develops data-driven models for analyzing plant structure and processes. Key areas include:

• Plant phenotyping
• Plant-environment interaction analysis
• Technologies for alternative biomass utilization
• Integration of molecular, physiological, and ecological approaches

Her research emphasizes advanced machine learning methods to address field condition challenges, such as variable environmental factors and complex data structures. Current projects explore:

• Uncertainty quantification in agricultural decision-making
• Satellite image editing for climate-conditional analysis
• Explainable AI for harvest-readiness prediction
• Core-set selection for efficient land cover segmentation
• FAIR data principles in environmental risk mapping

These methodologies are applied to problems like crop yield prediction, ocean eddy detection, and climate adaptation studies, supporting resource efficiency and climate-resilient agriculture.