PlantNet Plant Identification Apk

PlantNet Plant Identification Apk

version 3.5.2 for Windows PC & Mac
06 May 2021

Free download PlantNet Plant Identification Apk 3.5.2 for Windows with direct link

About The App

Pl@ntNet is an application that allows you to identify plants simply by photographing them with your smartphone. Very useful when you don't have a botanist on hand! Pl@ntNet is also a great citizen science project: all the plants you photograph are collected and analysed by scientists around the world to better und... read more...

How to Install PlantNet Plant Identification for Windows PC?

You can install and run PlantNet Plant Identification on Windows PC. Installing PlantNet Plant Identification on a Windows operating system requires the installation of an Android Emulator like Bluestacks. Bluestacks Emulator application makes it possible for you to download PlantNet Plant Identification on you Windows operating system.

PlantNet Plant Identification for Windows PCPlantNet Plant Identification for Windows PC [ view more photos ]

STEP 1: Download and Install BlueStacks

BlueStacks is absolutely free to download. You can get the installation file on their website at https://www.bluestacks.com. Once you've downloaded your copy, simply install it on your computer and open the program.

STEP 3: Download the PlantNet Plant Identification Apk

The next thing you want to do is to download the PlantNet Plant Identification Apk. BlueStacks would need the APK file so that it can proceed to run the app onto your computer. You can download the PlantNet Plant Identification Apk for Windows at the top of this page.

STEP 4: Run the APK file on BlueStacks

After successfully downloading the PlantNet Plant Identification App APK, right-click on the file and run it with BlueStacks. BlueStacks will automatically translate that file into the useable app onto your computer. When the process is finished, you should find a shortcut of the PlantNet Plant Identification App on home screen of BlueStacks. And voila! You now have the PlantNet Plant Identification App for Windows PC.

How to install PlantNet Plant Identification for Mac?

1. To install PlantNet Plant Identification for Mac using Apk file, you first need go to the official BlueStacks website, and download the installer for Mac.

2. Download the APK installer file of PlantNet Plant Identification at top of this page.

3. In most cases, installation of PlantNet Plant Identification on Mac starts automatically. If it not, you can also drag the PlantNet Plant Identification Apk file and drop it to Bluestacks Emulator to install the app.

App Additional Information

Updated: 18 Jun 2021

Apk Size: 11.6 MB

Installs: 10,000,000+

Current Version: 3.5.2

Rating: 4.6/5 - ‎168,358 votes

App ID: org.plantnet

Whats New: 3.5.2 Harmonization of the observation interface to be consistent throughout the app. Votes are saved directly.
You can now participate to common names. Small improvements on interface and navigation, more small bug fixes. read more...

Reviews

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Pl@ntNet is an application that allows you to identify plants simply by photographing them with your smartphone. Very useful when you don't have a botanist on hand! Pl@ntNet is also a great citizen science project: all the plants you photograph are collected and analysed by scientists around the world to better understand the evolution of plant biodiversity and to better preserve it.

Pl@ntNet allows you to identify and better understand all kinds of plants living in nature: flowering plants, trees, grasses, conifers, ferns, vines, wild salads or cacti. Pl@ntNet can also identify a large number of cultivated plants (in parks and gardens) but this is not its primary purpose. We especially need Pl@ntNet’s users to inventory the wild plants, those that you can observe in nature of course but also those that grow on the sidewalks of our cities or in the middle of your vegetable garden!

The more visual information you give to Pl@ntNet about the plant you are observing, the more accurate the identification will be. There are indeed many plants that look alike from afar and it is sometimes small details that distinguish two species of the same genus. Flowers, fruits and leaves are the most characteristic organs of a species and it is them that should be photographed first. But any other detail can be useful, such as thorns, buds or hair on the stem. A photograph of the whole plant (or the tree if it is one!) is also very useful information, but it is often not sufficient to allow a reliable identification.

At present Pl@ntNet makes it possible to recognize about 20,000 species. We are still a long way from the 360,000 species living on earth, but Pl@ntNet is getting richer every day thanks to the contributions of the most experienced users among you. Don't be afraid to contribute yourself! Your observation will be reviewed by the community and may one day join the photo gallery illustrating the species in the application.

The new version of Pl@ntNet released in January 2019 includes many improvements and new features:
- The ability to filter recognized species by genus or family.
- The differentiated data revision that gives more weight to users who have demonstrated the most skills (in particular the number of species observed, validated by the community).
- The re-identification of shared observations, whether yours or those of other users of the application.
- The multi-flora identification that allows you to search for the photographed plant in all the flora of the application and not only in the one you have selected. Very useful when you are not sure what flora to look for.
- The selection of your favorite floras to access them more quickly.
- The navigation at different taxonomic levels in image galleries.
- The mapping of your observations.
- Links to many factsheets.

The web version of the application is also available at the following address: https://identify.plantnet.org/
3.5.2
Harmonization of the observation interface to be consistent throughout the app. Votes are saved directly.
You can now participate to common names.
Small improvements on interface and navigation, more small bug fixes.