Pl@ntNet
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Pl@ntNet is a mobile app and citizen science project that allows users to identify plants by taking photos. It combines machine learning with botanical science to provide accurate plant identifications.
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Pl@ntNet is a mobile app and citizen science project that allows users to identify plants by taking photos. It combines machine learning with botanical science to provide accurate plant identifications.
Featured
What is Pl@ntNet?
Pl@ntNet is a mobile app and participatory science project designed to identify plants and improve botanical knowledge. The app relies on machine learning algorithms to process user-submitted photographs and provide plant identifications. Users can capture images of plants, flowers, leaves, or fruits and instantly receive detailed descriptions, including the scientific and common names. The app also allows users to explore a vast database of plant species and share their observations, contributing to a global community effort in documenting plant biodiversity.
Who will use Pl@ntNet?
- Botanists
- Gardeners
- Nature enthusiasts
- Students
- Researchers
- Hikers
- Environmentalists
- Citizen scientists
How to use the Pl@ntNet?
- Step1: Download and install the Pl@ntNet app from your device’s app store.
- Step2: Open the app and either sign up or log in.
- Step3: Tap the camera icon to take a photo of the plant you want to identify.
- Step4: Adjust the image to focus on the relevant part of the plant (leaf, flower, etc.).
- Step5: Submit the photo for identification and wait for the app to process it.
- Step6: Review the identification results, which include the scientific and common names.
- Step7: Explore additional information or share your observation with the community.
Platform
- web
- ios
- android
Pl@ntNet's Core Features & Benefits
The Core Features
- Plant identification from photos
- User observation sharing
- Machine learning algorithms
- Extensive plant database
The Benefits
- Accurate plant identifications
- Educational and informational
- Global community participation
- Contribution to plant biodiversity records
Pl@ntNet's Main Use Cases & Applications
- Botanical research
- Gardening
- Educational purposes
- Nature exploration
- Biodiversity documentation
- Environmental studies
Pl@ntNet's Pros & Cons
The Pros
Uses advanced AI techniques like deep learning and vision transformers for accurate plant identification.
Supports both online and offline plant identification, increasing usability in remote areas.
Encourages citizen science and user participation to improve biodiversity data.
Has strong community engagement and ongoing research collaborations.
The Cons
No direct open-source access to the platform or models is mentioned.
Limited monetization or pricing details, appears to rely on donations.
May require prior botanical knowledge for best use despite AI assistance.
No mention of direct integration with popular communication platforms like Discord or Telegram.
Pl@ntNet's Pricing
| Has free plan | No |
|---|---|
| Free trial details | |
| Pricing model | |
| Is credit card required | No |
| Paid from | |
| Has lifetime plan | No |
| Billing frequency |
FAQs of Pl@ntNet
Pl@ntNet Company Information
Analytic of Pl@ntNet
Visit Over Time
Monthly Visits
581.6k
Avg Visit Duration
00:01:07
Page Per Visit
2.67
Bounce Rate
41.75%
Sep 2025 - Nov 2025 All Traffic
Geography
Top 5 Regions
United States
15.45%
France
8.2%
Brazil
7.62%
Spain
4.69%
Belgium
3.44%
Sep 2025 - Nov 2025 Worldwide Desktop Only
Traffic Sources
Search
58.35%
Direct
33.70%
Referrals
5.66%
Social
1.56%
Paid Referrals
0.54%
Mail
0.15%
Sep 2025 - Nov 2025 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| plantnet | 6.3k | $ 0.84 |
| plant identifier | 6.7k | $ 1.41 |
| plant net | 3.0k | $ 0.64 |
| plant identification | 780 | $ 1.70 |
| plant id | 1.3k | $ 1.70 |
Pl@ntNet Reviews
5/5
Pl@ntNet's Main Competitors and alternatives?
- PlantSnap
- PictureThis
- iNaturalist
- Leafsnap
- Seek by iNaturalist
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