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@ Inra (AMAP lab)

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18 months Post-doc in Pl@ntNet team: Plant disease monitoring in crowdsourced image streams

Organization: Inra (AMAP lab)

Location: Parc Scientifique Agropolis, 34980 Montferrier-sur-Lez, France
Available from: October 1, 2017 to January 7, 2019
Send CV, publications, summary and references to:
Pierre Bonnet at pierre.bonnet@cirad.fr
cc: alexis.joly@inria.fr

Position Information:

One of the major difficulty encountered in plant disease epidemiology is the lack of occurrence data. Large-scale and sustainable monitoring efforts are penalized by the lack of experts and the difficulty of diagnosing plant diseases for non-experts. In this context, crowdsourcing plant observation tools (such as Pl@ntNet) could serve as a brave new monitoring methodology. Even if non-healthy plants remain a relatively rare event in such high-throughput image data stream, the number of occurrences might be sufficiently high for several monitoring scenarios. Now, automatically recognizing plant diseases in such crowdsourced image streams is a challenging computer vision problem because of the scarcity of the training data, the low inter-class variability and the rarity of the events. The original approach that we propose to solve these issues is to rely on transfer learning and pro-active learning solutions as a way to set up an innovative and participatory citizen sciences program.

Please click on “Download Complete Presentation” for a full description of the position and eligibility criteria.

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