FAQ from Pl@ntNet
What is Pl@ntNet?
Pl@ntNet is a free, AI-driven mobile application that identifies plants from photographs while enabling public participation in scientific data collection.
How to use Pl@ntNet?
Capture a clear image of a plant—preferably focusing on distinctive parts like leaves, flowers, or bark—and submit it through the app. Pl@ntNet will process the image and suggest possible species matches.
How does Pl@ntNet identify plants?
The system uses deep-learning algorithms trained on a vast dataset of geotagged, expert-validated plant images to recognize morphological patterns and classify species accurately.
How accurate is the plant identification in Pl@ntNet?
Accuracy is generally high for common species with clear, well-lit photos. Results improve when multiple plant parts are photographed and submitted together.
Can I use Pl@ntNet offline?
Yes, the app supports offline identification for certain regional flora packs that can be downloaded in advance, though full functionality requires internet access.
How can I contribute to Pl@ntNet?
You can help by sharing your plant observations, validating other users’ identifications, joining targeted observation campaigns, or even assisting with app translations.
Is Pl@ntNet available in multiple languages?
Absolutely. The interface supports numerous languages, and users can actively participate in translating and localizing content via the community translation program.