Objective In this proposal we present PHIDIAS, with the objective to provide an affordable, high-throughput, distributed, knowledge-sharing platform for phenotype collection and analysis. PHIDIAS will incorporate lessons learned from prior phenotyping efforts and will be a simple to use platform for acquiring (non-destructively and continuously) and analyzing phenotypes from plant experiments. Its novelty arises from the fact that it combines distributed affordable sensors (cameras) to collect images and transmit them over the Internet for centralized processing. With slight modifications to their software, commercial cameras can become powerful image acquisition devices. To increase the fidelity of our data, we acquire multiple sequential images of different parameters (focus, zoom, exposure) to generate high resolution, fully focused composite images, using sophisticated algorithms borrowed from computational photography running in processing servers. The same servers also process the images and extract relevant phenotyping information. All the data are stored in databases and offered to the user for exploration through a modern web-based Graphical User Interface. The users can even edit and view images online through the web. PHIDIAS learns from the user’s inputs, for training continuously the learning-based image processing algorithms, in order to increase performance. We will provide an arena of constant development and evolution by adopting open source, open development and affordable hardware standards. Thus, users can help PHIDIAS evolve by contributing data and functionality. As the knowledge in PHIDIAS’s database increases, and more biological databases are connected, complex meta-analysis studies can be performed bringing us closer to both forward and reverse hypothesis formulations. To the best of our knowledge there is no tool combining the above qualities, with the potential of providing an evolvable and sustainable phenotyping platform. Fields of science natural sciencescomputer and information sciencessoftwarenatural sciencescomputer and information sciencesinternetnatural sciencescomputer and information sciencesdatabasesengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) FP7-PEOPLE-2009-RG - Marie Curie Action: "Reintegration Grants" Call for proposal FP7-PEOPLE-2009-RG See other projects for this call Funding Scheme MC-IRG - International Re-integration Grants (IRG) Coordinator SCUOLA IMT (ISTITUZIONI, MERCATI, TECNOLOGIE) ALTI STUDI DI LUCCA EU contribution € 100 000,00 Address PIAZZA SAN PONZIANO 6 55100 Lucca Italy See on map Region Centro (IT) Toscana Lucca Activity type Higher or Secondary Education Establishments Administrative Contact Manuela Corsini (Ms.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data Participants (1) Sort alphabetically Sort by EU Contribution Expand all Collapse all ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS Participation ended Greece EU contribution No data Address CHARILAOU THERMI ROAD 6 KM 57001 Thermi Thessaloniki See on map Region Βόρεια Ελλάδα Κεντρική Μακεδονία Θεσσαλονίκη Activity type Research Organisations Administrative Contact Costas Kiparissides (Prof.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data