# Pl@ntNet

> mobile app to identify plants

**Wikidata**: [Q109525136](https://www.wikidata.org/wiki/Q109525136)  
**Source**: https://4ort.xyz/entity/pl-ntnet-q109525136

## Summary
Pl@ntNet is a mobile application designed to identify plants using artificial intelligence, available for both Android and iOS devices. Launched in 2013, it allows users to determine plant species by analyzing photographs of their morphological characteristics. The app is accessible in multiple languages and serves as a tool for botanists, naturalists, and the general public.

## Key Facts
- **Launched**: 2013 (recognized with an innovation award from INRIA and Académie des Sciences, Dassault Systèmes).
- **Platforms**: Available on Android and iOS operating systems.
- **Website**: https://identify.plantnet.org (supports multiple languages).
- **Distribution**: Digital download via Google Play (ID: org.plantnet) and the App Store (ID: 600547573).
- **Age Rating**: Rated 9+ on the App Store.
- **Functionality**: Identifies plants through image recognition of specific parts (e.g., flowers, leaves).

## FAQs
### Q: What devices can Pl@ntNet be used on?
A: Pl@ntNet is compatible with Android and iOS devices, available for download on Google Play and the App Store.

### Q: When was Pl@ntNet first released?
A: The app was launched in 2013.

### Q: How does Pl@ntNet identify plants?
A: It uses artificial intelligence to analyze photographs of plant parts, such as flowers, leaves, and stems, to determine species.

## Why It Matters
Pl@ntNet democratizes access to botanical knowledge by enabling users worldwide to identify plant species accurately without specialized training. Its multilingual support and cross-platform availability make it a valuable resource for education, ecological research, and conservation efforts. By leveraging AI-driven image recognition, the app simplifies the process of plant identification, fostering public engagement with biodiversity and assisting professionals in fieldwork. Since its inception in 2013, it has grown into a globally recognized tool, reflecting the increasing role of technology in environmental science.

## Notable For
- **Multilingual Support**: Offers identification services in multiple languages, enhancing global accessibility.
- **Cross-Platform Compatibility**: Seamlessly operates on both Android and iOS systems, ensuring broad usability.
- **Award Recognition**: Received an innovation award from INRIA and Académie des Sciences, Dassault Systèmes, in 2013.
- **Scientific Collaboration**: Developed through academic and research partnerships, emphasizing accuracy and reliability.

## Body
### Technical Specifications
- **Operating Systems**: Android (developed by Google) and iOS (developed by Apple Inc.).
- **Distribution Format**: Digital download via official app stores.
- **App Store IDs**: Google Play (org.plantnet), App Store (600547573).

### Development Context
- **Launch Year**: 2013, with ongoing updates to expand its plant database and AI capabilities.
- **Recognition**: Acknowledged for innovation in 2013 by prominent French scientific institutions.

### Functional Features
- **Identification Method**: Analyzes uploaded images of plant parts (e.g., flowers, leaves, bark) to suggest species matches.
- **Language Accessibility**: Website and app content available in multiple languages, broadening its user base.

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "MobileApplication",
  "name": "Pl@ntNet",
  "description": "A mobile app for identifying plants using artificial intelligence, available on Android and iOS.",
  "url": "https://identify.plantnet.org",
  "operatingSystem": ["Android", "iOS"],
  "applicationCategory": "https://schema.org/Education",
  "downloadUrl": ["https://play.google.com/store/apps/details?id=org.plantnet", "https://apps.apple.com/app/id600547573"],
  "sameAs": ["https://www.wikidata.org/wiki/Q109525136"]
}

## References

1. [Source](https://plantnet.org/#telecharger)
2. [Source](https://ipt.plantnet.org/resource)
3. [Source](https://www.inria.fr/fr/prix-innovation-inria-academie-des-sciences-dassault-systemes-PlantNet)