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Please use this identifier to cite or link to this item: http://hdl.handle.net/10077/3780

Title: A collaborative and distributed identification tool for plants
Authors: Laroche, Philippe
Keywords: collaborative tool
PDA application
biodiversity collection building
Issue Date: 2010
Publisher: EUT Edizioni Università di Trieste
Citation: Philippe Laroche, A collaborative and distributed identification tool for plants, in Pier Luigi Nimis and Régine Vignes Lebbe (eds.): “Tools for Identifying Biodiversity: Progress and Problems. Proceedings of the International Congress, Paris, September 20-22, 2010”, Trieste, EUT Edizioni Università di Trieste, 2010, p. 223.
Abstract: We are developing a website/smartphone application where users can deposit pictures of plants. Volunteers can then answer questions relating to these pictures: text questions, or drawing comparisons, or comparisons with other pictures. When sufficient data are available (50 or 100 of such answers) we can then propose an identification. The volunteers give answers based on “naive” observations of plant details. Example on a flower: do you see 3 petals, 4 petals, 5-8 petals, many petals ? For leaves, we display a small set of drawings, the set changes when the firsts questions provide sufficient information. To finish the identification, we allow for direct comparison with other pictures of similar detail. The questions are inside Iframe, and so are easily included on a network of participating web sites. Depending on the total number of visits to these sites, we shall have identifications within a few minutes or a few hours. We have now a set of 300 plants which are well-know in France. An important point about the method is that the volunteers help to classify the pictures we have as well as new pictures, so that the system is bootstrapping and scales easily. Moreover, we can easily experiment with new questions or drawings, to find those that reduce entropy most rapidly.
URI: http://hdl.handle.net/10077/3780
ISBN: 978-88-8303-295-0
Appears in Collections:Tools for Identifying Biodiversity: Progress and Problems

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