- Development of the Integrated Analysis Platform - IAP (since May 2010)
- Project OPTIMAL (2012-2013)
- EPPN - European Plant Phenotyping Network (2012-2015)
- DPPN - German 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)
Development of the Integrated Analysis Platform - IAP
A new software framework is in development at the image analysis group of Dr. Klukas. This information system will be able to store, manage, visualize and analysis biological experiment data. The framework will be able to handle extensive image data and contain function for automatic image analysis.
The goal of the OPTIMAL project is 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 will contribute on the tasks of collecting (phenomic) data from automated non-invasive phenotyping systems installed at the IPK and in the evaluation of new statistical methods.
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.
DPPN - German Plant Phenotyping Network
Subject to successful funding approval, the group image analysis will work within the frame of the german plant phenotyping network on a number of work packages, which will be described in more detail in the near future at this place.
DAAD - Go8 Australia-Germany Joint Research Co-operation Scheme (PPP), project for the establishment of high-througput phenotyping and data analysis for crop plants
Within this cooperation the analysis software system, developed within the group is 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 will be together adapted as needed to be suitable for data analysis within the cooperation and beyond that.
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 is supported by the Federal Office for Agriculture and Food. The focus of the project is 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.
Establishment of an bioinformatics software platform for the distributed phenotypic and genetic analysis of agronomical important plant species
This project is 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 (see Results section on the left).