Projects Overview

  • DPPN – German Plant Phenotyping Network (since 2012)
  • Development of the Integrated Analysis Platform - IAP (2010-215)
  • Project OPTIMAL (2012-2013)
  • EPPN - European Plant Phenotyping Network (2012-2015)
  • DAAD - Go8 Australia-Germany Joint Research Co-operation Scheme (2012-2013)
  • Establishment of an data exchange protocol in the fields of agriculture research and biology (2011-2012)
  • Establishment of an bioinformatics software platform for the distributed phenotypic and genetic analysis of agronomical important plant species (2010-11).
  • Collaboration with the bioinformatics group of Professor Ming Chen, Zhejiang University (2010-2011)

    DPPN - German Plant Phenotyping Network

    Subject to successful funding approval, the group image analysis works within the frame of the German Plant Phenotyping Network on a number of work packages including development of novel methods for automated plant shoot and root phenotyping using different 2D and 3D imaging platforms.

    Development of the Integrated Analysis Platform – IAP

    The software framework IAP was previously developed at the image analysis group by Dr. Klukas. This software was designed to store, manage, visualize and analyze image data acquired from high-throughput plant phenotyping experiments.

    Project OPTIMAL

    The goal of the OPTIMAL project was to develop and improve a novel predictive breeding approach based on metabolite and DNA data and to test its efficiency. Among the extensive research program the group image analysis contributed on the tasks of collecting (phenomic) data from automated non-invasive phenotyping systems installed at the IPK and in the evaluation of statistical methods.

    (2012-2014)

    EPPN - European Plant Phenotyping Network

    Currently, many plant phenotyping databases and solutions exist and several state of the art analysis tools have been developed. However, a major problem is the lack of commonly accepted standards, ontologies or APIs which need to be defined to allow cross-site phenotyping approaches and most efficient use of resources.

    (2012-2015)

    DAAD - Go8 Australia-Germany Joint Research Co-operation Scheme (PPP), project for the establishment of high-throughput phenotyping and data analysis for crop plants

    Within this cooperation the analysis software system, developed within the group was made more flexible, to be also suitable for the analysis of image data sets from the Australian partners. Data analysis procedures and standards, formulated and developed in Australia were adapted as needed to be suitable for data analysis within the cooperation and beyond that.

    (2012-2013)

    Establishment of a data exchange protocol in the fields of agrar science and biology

    As important as the shared use and development of software systems is the establishment of common data exchange procedures. This project was supported by the Federal Office for Agriculture and Food. The focus of the project was the improvement of scientific collaborations between Federal Republic of Germany and the People's Republic of China. Cooperation partner is Prof. Ming Chen, Zhejiang University.

    (2011-2012)

     

    Establishment of an bioinformatics software platform for the distributed phenotypic and genetic analysis of agronomical important plant species

    This project was supported by the Robert Bosch Stiftung for 2012 until 2014 and continues and extends the works, supported by the NSFC of China in 2010 and 2011.

    Collaboration with the bioinformatics group of Professor Ming Chen, Zhejiang University

    Within the frame of a collaboration with the bioinformatics group of Professor Dr. Ming Chen, Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou, P.R. China, software training, joint software development and collaborative research activities have been conducted. This initial research in 2010 and 2011 has been supported by the  NSFC (grant 31050110121) under the frame of "The Research Fund for International Young Scientists".  

    (2010-2011)