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AI-GeoSpecies: integrate artificial intelligence into your citizen science app

Ángela Justamante; Alexis Joly; Jean-Christophe Lombardo; Fabian Robert; Mathias Chouet; Sonia Liñán; karen Soacha; Jaume Piera

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    <dcat:keyword>species prediction</dcat:keyword>
    <dcat:keyword>biodiversity</dcat:keyword>
    <dcat:keyword>web service</dcat:keyword>
    <dcat:keyword>plants</dcat:keyword>
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    <dct:description>&lt;p&gt;AI-GeoSpecies: Integrate artificial intelligence into your citizen science app to predict which plant species users will find in a particular area. In particular it is a web service that&amp;nbsp;shows potential plant species to be observed in a set area. Currently works on a scale of four thousand plant species on a France-wide level.&lt;strong&gt; More information:&amp;nbsp;&lt;/strong&gt;&lt;a href="https://cos4cloud-eosc.eu/services/ai-geospecies/"&gt;https://cos4cloud-eosc.eu/services/ai-geospecies/&lt;/a&gt;&lt;/p&gt; &lt;p&gt;Service developed by Inria in the Cos4Cloud framework.&amp;nbsp;&lt;/p&gt; &lt;p&gt;Infographic&amp;#39;s designer: Lucas Wainer.&amp;nbsp;&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;</dct:description>
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Publication date:
February 20, 2023
DOI:
10.5281/zenodo.7657594

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Keyword(s):
species prediction biodiversity web service plants citizen science
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European Commission:
  • COS4CLOUD - Co-designed Citizen Observatories Services for the EOS-Cloud (863463)
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