Pl@ntNet
With the Pl@ntNet app, identify one plant from a picture, and be part of a citizen science project on plant biodiversity.
Cost / License
- Free
- Proprietary
Application type
EUPlatforms
- Online
- Android
- iPhone
- Android Tablet
- iPad
Features
- Plant identification
- Picture identification
- Community-based
- Neural network
- Object identification
Tags
Pl@ntNet News & Activities
Recent News
Recent activities
- AlSharpe1 liked Pl@ntNet
- ferenczy reviewed Pl@ntNet
One of the best plant identification service! It's because there's a huge community of skilled users who are actively helping with identification when an AI failed to identify a plant correctly or just validating the automatic identification. Much better than any commercial service or app. It's being developed by an university.
- ferenczy liked Pl@ntNet
Pl@ntNet information
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Pl@ntNet Licensing
Proprietary and Free product.Alternatives
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What is Pl@ntNet?
Pl@ntNet is an image sharing and retrieval application for the identification of plants.
It is developed by scientists from four French research organisations (Cirad, INRA, Inria and IRD), and the Tela Botanica network, with the financial support of Agropolis fondation.
Among other features, this free app helps identifying plant species from photographs, through a visual recognition software. Plant species that are well enough illustrated in the botanical reference database can be easily recognized. This app works on more than 3700 species of wild flora of the French territory, the species list is available through the application. The number of species and the number of images used by the application evolve with contributions of end users to the project.
It doesn’t allow the identification of ornamental plants. It works even better than the pictures submitted are focused on one organ. Pictures of tree leaves on uniform background provide the most relevant results.
If you correctly identify a species, you can participate to the project by submitting your observation with the "contribution" button. These contributions subject to a moderation process will be validated collaboratively.
To find this application on the web, go to the following link: http://identify.plantnet-project.org/fr/base/tree
Comments and Reviews
One of the best plant identification service! It's because there's a huge community of skilled users who are actively helping with identification when an AI failed to identify a plant correctly or just validating the automatic identification. Much better than any commercial service or app. It's being developed by an university.