February 20, 2023 Other Open Access

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

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  <dc:creator>Ángela Justamante</dc:creator>
  <dc:creator>Alexis Joly</dc:creator>
  <dc:creator>Jean-Christophe Lombardo</dc:creator>
  <dc:creator>Fabian Robert</dc:creator>
  <dc:creator>Mathias Chouet</dc:creator>
  <dc:creator>Sonia Liñán</dc:creator>
  <dc:creator>karen Soacha</dc:creator>
  <dc:creator>Jaume Piera</dc:creator>
  <dc:date>2023-02-20</dc:date>
  <dc:description>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 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. More information: https://cos4cloud-eosc.eu/services/ai-geospecies/

Service developed by Inria in the Cos4Cloud framework. 

Infographic's designer: Lucas Wainer. 

 </dc:description>
  <dc:identifier>https://zenodo.org/record/7657594</dc:identifier>
  <dc:identifier>10.5281/zenodo.7657594</dc:identifier>
  <dc:identifier>oai:zenodo.org:7657594</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/863463/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.7657593</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/h2020-cos4cloud</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>species prediction</dc:subject>
  <dc:subject>biodiversity</dc:subject>
  <dc:subject>web service</dc:subject>
  <dc:subject>plants</dc:subject>
  <dc:subject>citizen science</dc:subject>
  <dc:title>AI-GeoSpecies: integrate artificial intelligence into your citizen science app</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>other</dc:type>
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