Product Overview

Pl@ntNet is a citizen science platform designed as a mobile application to help users identify plants through photographs. It combines AI-powered recognition with a collaborative approach to plant biodiversity research. The app allows individuals to submit images for species identification while contributing to a global database for scientific analysis. Backed by the Agropolis Foundation, Pl@ntNet prioritizes data privacy and environmental impact, ensuring user contributions remain non-commercial and ad-free.

Core Features

1. AI-Powered Plant Identification

Leverage advanced machine learning to analyze plant photos and provide accurate species recognition. By uploading an image, the app cross-references it with a vast database of plant species, offering results with detailed descriptions and scientific names.

2. Biodiversity Data Collection

Users actively support ecological studies by submitting their observations. Each uploaded photo enriches the platform’s open-access dataset, which researchers use to track plant distribution, monitor species health, and study environmental changes.

3. Participatory Science Platform

Pl@ntNet fosters community involvement by enabling users to validate and refine identification results. This collaborative model improves the app’s accuracy over time while empowering individuals to become citizen scientists.

4. User-Friendly Interface

The app simplifies the identification process with an intuitive design. Features like real-time image analysis, step-by-step guidance, and a library of verified species make it accessible for casual users and experts alike.

Use Cases

Gardening & Outdoor Exploration

Quickly identify unknown plants in your garden or during nature walks. Whether troubleshooting invasive species or cataloging native flora, Pl@ntNet provides instant insights for better plant care and ecological awareness.

Scientific Research Contributions

Scientists and conservationists can utilize the platform’s crowd-sourced data to study biodiversity patterns. The app’s ability to aggregate geotagged observations aids in mapping rare species and analyzing habitat shifts.

Educational Tool for Students & Enthusiasts

Students and nature lovers benefit from the app’s interactive learning features. Explore plant characteristics, compare species, and deepen your understanding of botany through real-world identification.

Frequently Asked Questions

How does plant identification work?
The app uses AI algorithms to analyze key visual traits in your photo, such as leaf shape, flower structure, and plant texture. It then matches these features against a comprehensive database to suggest potential species.

Can I help improve the database?
Absolutely. By submitting your observations, you contribute to the platform’s growing dataset. Verified records enhance the app’s accuracy and support global biodiversity research.

Is the app free to use?
Yes, Pl@ntNet is completely free, with no hidden costs or subscription requirements. Users can access core features without financial commitment.

What happens to donation funds?
Contributions directly support the project’s sustainability, including server maintenance, algorithm upgrades, and educational initiatives. Learn more by visiting the dedicated support page.