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Pl@ntNet

With the Pl@ntNet app, identify one plant from a picture, and be part of a citizen science project on plant biodiversity

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Pl@ntNet is a citizen science platform and mobile application designed for automated plant identification using computer vision. Developed by scientific research consortia, the system employs deep learning models trained on botanical image databases to identify plant species from photographs of leaves, flowers, fruits, or bark. Users capture or upload an image via the web portal or mobile apps to receive ranked taxonomic suggestions accompanied by morphological details, botanical classifications, and geographic distribution records. Validated observations feed into a global biodiversity repository utilized by researchers to monitor flora populations worldwide. The tool is intended for botanists, agronomists, educators, nature enthusiasts, and field researchers. Operating as a non-profit scientific initiative, the service is available free of charge across its mobile applications and web platform.