Pl@ntNet is a mobile app and online platform that allows users to identify plants simply by taking a photo of a leaf, flower, fruit, bark or landscape. It uses computer vision and machine learning algorithms to suggest identifications and provides information about species.
Pl@ntNet is a free mobile application and online platform that allows users to identify plant species simply by taking a photograph of a plant's leaf, flower, fruit, bark or landscape view. It utilizes advanced computer vision and machine learning algorithms to analyze the uploaded images and suggest identifications for the species along with descriptive information.
Once a user takes or uploads a clear photo of the plant part, Pl@ntNet processes the images and provides a list of suggested species identifications ranked by probability. Each suggestion links to an informational page about the species that includes facts, characteristics, taxonomic details, native range, edibility information, similar species comparisons, and more. References and evidence for the identifications are provided from scientific sources.
In addition to identification, Pl@ntNet also enables users to participate in recording observational data to improve plant mapping and conservation efforts. Users can save locations and details about species they encounter to the platform's database. The app also includes quizzes, games and challenges related to plant recognition that make it an engaging way for students and nature enthusiasts to test and build their knowledge.
With over 20,000 species in its database covering flora from all over the world, Pl@ntNet provides a comprehensive and user-friendly platform for learning plant identification through visual recognition powered by AI algorithms. The service is available as a mobile app for Android and Apple devices as well as a web version, and all identification and database services are free to use.
Here are some alternatives to Pl@ntNet:
Suggest an alternative ❐