Savini, Gianluca
Joly, Alexis
Giuffrida, Maria
Willems, Marieke
Justamante Rodríguez, Ángela
2022-09-05
<p>This story derives from a market need identified by the service provider. There are thousands of applications in the natural sciences field who were asking for an automated plant identification system within their own applications. </p>
<p>The proposed solution is called<a href="https://marketplace.eosc-portal.eu/services/pl-ntnet-identification-service?q=Pl%2540ntNet+Identification+Service"> Pl@ntNET</a>, a citizen observatory and AI-based Platform designed to monitor plants biodiversity and help identify plants via pictures. It is organised in different thematic and geographical floras operational via a search engine. The solution is provided by a consortium of French research organisms piloted by <a href="https://www.inria.fr/en/inria-ecosystem">Inria</a>, the French national research institute for digital science and technology. </p>
<p>The user community of Pl@ntNet consists of (1) the <strong>citizen and citizen scientists</strong> who are interested in identifying and knowing more about plants, and (2)<strong> developers of applications and software</strong> for plant identification, gardening, biodiversity management, agroecology or other related fields.</p>
<p>The service is available on the <strong>EOSC Portal Catalogue and Marketplace</strong> and was developed within the <strong><a href="https://cos4cloud-eosc.eu/">Cos4Cloud Project</a></strong>.</p>
<p>The full list of EOSC in practice stories is available <a href="https://eosc-portal.eu/eosc-in-practice/stories">here</a></p>
https://doi.org/10.5281/zenodo.7049755
oai:zenodo.org:7049755
eng
Zenodo
https://zenodo.org/communities/eosc-in-practice-stories
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.7049754
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
AI,
plant
species
identification
API
biodiversity
mobile
citizenobservatory
EOSCinPractice
Supporting cross-disciplinary research in natural sciences
info:eu-repo/semantics/other