A look inside the Pl@ntNet experience

Abstract : Pl@ntNet is an innovative participatory sensing platform relying on image-based plants identification as a mean to enlist non-expert contributors and facilitate the production of botanical observation data. One year after the public launch of the mobile application, we carry out a self-critical evaluation of the experience with regard to the requirements of a sustainable and effective ecological surveillance tool. We first demonstrate the attractiveness of the developed multimedia system (with more than 90K end-users) and the nice self-improving capacities of the whole collaborative workflow. We then point out the current limitations of the approach towards producing timely and accurate distribution maps of plants at a very large scale. We discuss in particular two main issues: the bias and the incompleteness of the produced data. We finally open new perspectives and describe upcoming realizations towards bridging these gaps.
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Alexis Joly, Pierre Bonnet, Hervé Goëau, Julien Barbe, Souheil Selmi, et al.. A look inside the Pl@ntNet experience. Multimedia Systems, Springer Verlag, 2016, 22 (6), pp.751-766. ⟨10.1007/s00530-015-0462-9⟩. ⟨hal-01182775⟩

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