Assignments and Research Activities:

• Group leader sensor-based grapevine phenotyping
• Coordinator and supervisor of different projects
• Development and validation of sensor assisted, automated methods for an objective description of grapevine characteristics
• Application of imaging and non-imaging sensors and sensor fusion under lab, greenhouse or field conditions
• Plant Phenomics: Development and establishment of fast screening techniques for grapevine breeding purposes, breeding research (QTL analysis and novel molecular marker) as well as objective characterization of the genetic repository
• Analysis, interpretation and statistic modelling of sensor data with corresponding ground truth evaluations
  
  
• Main topics: phenology, grape bunch architecture, berry skin/surface features as physical barriers, Botrytis
  
  
• Established phenotypic pipelines and its application:
  
  • 3D phenotyping pipeline for an automated, non-invasive acquisition of the 3D bunch architecture including berry number, berry size, total bunch volume and bunch weight with application in breeding research for molecular marker development
  • Fast measurement of grape berry impedance as novel indicator for berry surface characteristics and resilience towards Botrytis bunch rot disease especially for objective phenotyping of breeding material and molecular mapping

• Interdisciplinary cooperation’s:
  
  • computer Science
  • Artificial Intelligence
  • Statistics, Bioinformatics and modelling
  • German Plant Phenotyping Network (DPPN)

Publications in the Julius Kühn-Institut