Pl@ntNet

Identify plants with photos and contribute to biodiversity research.

Free

Description

Pl@ntNet is a citizen science project presented as a mobile application designed to help users identify plants through photographs. By submitting images, users leverage AI and collaborative knowledge to determine plant species. The platform encourages participation in a broader effort to document and understand global plant biodiversity.

Beyond simple identification, Pl@ntNet functions as a large-scale participatory science initiative. Observations shared by users contribute valuable data to researchers studying plant life. The tool supports identification across numerous species and floras worldwide and even offers features like offline identification for use in areas without network connectivity.

Key Features

Plant Identification from Photos: Submit images via the app to identify various plant species.
Citizen Science Participation: Contribute observations to a global project on plant biodiversity.
Extensive Database: Access identification information for over 51,000 species across dozens of floras.
Collaborative System: Leverages community input alongside AI for improved identification.
Offline Identification: Identify plants even without an active internet connection.
Mobile Application: Available as a user-friendly app for on-the-go identification.
Open Data Access: Contributes to and utilizes open datasets like GBIF.