Pl@ntNet

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Introduction:
An app for identifying plants from photos and contributing to biodiversity science.
Added on:
Dec 25 2023
Monthly Visitors:
284.7K
Social & Email:
Pl@ntNet Product Information

What is Pl@ntNet?

Pl@ntNet is a participatory science project accessible as an application that helps you identify plants from your photos. It also serves as a platform dedicated to plant biodiversity, without advertising or resale of data. The project is supported by the Agropolis Foundation.

How to use Pl@ntNet?

Use the Pl@ntNet application to take a photo of a plant. The application will then attempt to identify the plant based on the image. You can also contribute to the project by submitting your plant observations.

Pl@ntNet's Core Features

Plant identification from photos

Participatory science platform

Biodiversity data collection

Image-based plant recognition

Pl@ntNet's Use Cases

#1

Identifying unknown plants in your garden or during a hike.

#2

Contributing to scientific research on plant biodiversity.

#3

Learning about different plant species and their characteristics.

FAQ from Pl@ntNet

What is Pl@ntNet?

How can I contribute to Pl@ntNet?

Is Pl@ntNet free to use?

What does Pl@ntNet use donations for?

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Analytic of Pl@ntNet

Pl@ntNet Website Traffic Analysis

Visit Over Time

Monthly Visits
284.7K
Avg.Visit Duration
00:02:01
Page per Visit
3.45
Bounce Rate
41.70%
Sep 2023 - Aug 2026 All Traffic

Geography

Top 5 Regions

France
25.86%
United States
16.99%
Italy
6.10%
Brazil
5.16%
Norway
4.54%
Sep 2023 - Aug 2026 Desktop Only

Traffic Sources

Direct
55.28%
SearchOrganic
35.80%
Referrals
3.80%
GenAi
2.90%
SocialOrganic
1.59%
Mail
0.62%
SocialPaid
0.01%
Affiliate
0.00%
DisplayAds
0.00%
SearchPaid
0.00%
Sep 2023 - Aug 2026 Worldwide Desktop Only

Top Keywords

Keyword
Traffic
Cost Per Click
plantnet
5.3K
$ 0.32
plant identifier
7.8K
$ 1.21
what plant is this
--
$ 1.22
plantnet identify
--
$ 1.06
pl@ntnet
--
$ 0.65

Social Listening

Pl@ntNet Launch embeds

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Pl@ntNet: An app for identifying plants from photos and contributing to biodiversity science.
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