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.
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.
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 of Pl@ntNet
Plant identification from photos
User observation sharing
Machine learning algorithms
Extensive plant database
The Benefits of Pl@ntNet
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
FAQs of Pl@ntNet
Is Pl@ntNet free to use?
Yes, Pl@ntNet is completely free to use.
How does Pl@ntNet identify plants?
Pl@ntNet uses machine learning algorithms to analyze user-submitted photos and provide plant identifications.
What kinds of plants can Pl@ntNet identify?
Pl@ntNet can identify a wide range of wild plants, including flowers, leaves, and fruits.
Can I share my plant observations on Pl@ntNet?
Yes, users can share their plant observations and contribute to the community's knowledge base.
What platforms is Pl@ntNet available on?
Pl@ntNet is available on web, Android, and iOS platforms.
Do I need an account to use Pl@ntNet?
You can use Pl@ntNet without an account, but creating an account allows you to save and share your observations.
How accurate is Pl@ntNet in identifying plants?
Pl@ntNet's accuracy depends on the quality of the submitted photo and the plant species, but it generally provides accurate identifications.
What if Pl@ntNet cannot identify a plant?
If Pl@ntNet cannot identify a plant, it suggests the closest matches and encourages users to refine their photos for better results.
Can Pl@ntNet identify cultivated plants?
Pl@ntNet primarily focuses on wild plants, but it may identify some cultivated species as well.
Is Pl@ntNet available worldwide?
Yes, Pl@ntNet is available to users around the world.