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 different territories, 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:
iOS 9 compatibility.
Improve pictures management.
Improve identification algorithm.
- CTRE COOP INTERNAT RECHERCHE AGRO DEV
- 11.5 MB
- Kræver iOS 6.1 eller en nyere version. Kompatibel med iPhone, iPad og iPod touch.
- Engelsk, Fransk, Italiensk, Portugisisk, Spansk, Tysk
- Vurderet til 4+
- © 2013-2016 Cirad, INRA, Inria, IRD and Tela Botanica
Op til seks familiemedlemmer vil kunne bruge denne app, når Familiedeling aktiveres.