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Pl@ntnet-API: integrate Pl@ntNet's visual identification engine into your app

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


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.7657684", 
  "author": [
    {
      "family": "\u00c1ngela Justamante"
    }, 
    {
      "family": "Alexis Joly"
    }, 
    {
      "family": "Jean-Christophe Lombardo"
    }, 
    {
      "family": "Fabian Robert"
    }, 
    {
      "family": "Mathias Chouet"
    }, 
    {
      "family": "Sonia Li\u00f1\u00e1n"
    }, 
    {
      "family": "karen Soacha"
    }, 
    {
      "family": "Jaume Piera"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2023, 
        2, 
        20
      ]
    ]
  }, 
  "abstract": "<p>This service has developed an Application Programming Interface (API) allowing users to query the Pl@ntNet identification engine. This service is&nbsp;available to&nbsp;developers, researchers and other citizen science observatories interested in plant biodiversity.&nbsp;Pl@ntNet-API enables other citizen observatories and third-party applications developed by industrial, academic or associative stakeholders to&nbsp;integrate automatic plant identification features very easily into their apps. <strong>More information:&nbsp;</strong><a href=\"https://cos4cloud-eosc.eu/services/plantnet-as-a-service/\">https://cos4cloud-eosc.eu/services/plantnet-as-a-service/</a></p>\n\n<p>This service has been developed by Inria in the Cos4Cloud project framework.&nbsp;</p>\n\n<p>Infographic&#39;s designer: Lucas Wainer.&nbsp;</p>", 
  "title": "Pl@ntnet-API: integrate Pl@ntNet's visual identification engine into your app", 
  "type": "article", 
  "id": "7657684"
}
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