Other Open Access
Supporting cross-disciplinary research in natural sciences
Joly, Alexis;
Giuffrida, Maria;
Willems, Marieke;
Justamante Rodríguez, Ángela
Editor(s)
Savini, Gianluca
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.
The proposed solution is called Pl@ntNET, 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 Inria, the French national research institute for digital science and technology.
The user community of Pl@ntNet consists of (1) the citizen and citizen scientists who are interested in identifying and knowing more about plants, and (2) developers of applications and software for plant identification, gardening, biodiversity management, agroecology or other related fields.
The service is available on the EOSC Portal Catalogue and Marketplace and was developed within the Cos4Cloud Project.
The full list of EOSC in practice stories is available here
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InPractice_Plantnet final_zenodo.pdf
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| Data volume | 47.1 MB | 47.1 MB |
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- Publication date:
- September 5, 2022
- DOI:
-
- Keyword(s):
- AI, plant species identification API biodiversity mobile citizenobservatory EOSCinPractice
- Grants:
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European Commission:
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EOSC Future - EOSC Future (101017536)
- COS4CLOUD - Co-designed Citizen Observatories Services for the EOS-Cloud (863463)
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EOSC Future - EOSC Future (101017536)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International