PlantNet Plant Identification PC

Download PlantNet Plant Identification on PC

PlantNet Plant Identification PC

PlantNet Plant Identification

  • Updated

  • Current Version

    3.9.18

  • Offered By

    PlantNet Plant Identification PC

Features of PlantNet Plant Identification on PC

Stop worrying about overcharges when using PlantNet Plant Identification on your cellphone, free yourself from the tiny screen and enjoy using the app on a much larger display. From now on, get a full-screen experience of your app with keyboard and mouse. MEmu offers you all the surprising features that you expected: quick install and easy setup, intuitive controls, no more limitations of battery, mobile data, and disturbing calls. The brand new MEmu 9 is the best choice of using PlantNet Plant Identification on your computer. MEmu multi-instance manager makes opening 2 or more accounts at the same time possible. And the most important, our exclusive emulation engine can release the full potential of your PC, make everything smooth and enjoyable.

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Screenshots & Video of PlantNet Plant Identification PC

Download PlantNet Plant Identification on PC with MEmu Android Emulator. Enjoy playing on big screen. Pl@ntNet is an application that allows you to identify plants simply by photographing them with your smartphone.

Game Info

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/

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How to Download PlantNet Plant Identification on PC

  • PlantNet Plant Identification PC

    1. Download MEmu installer and finish the setup

  • PlantNet Plant Identification PC

    2. Start MEmu then open Google Play on the desktop

  • PlantNet Plant Identification PC

    3. Search PlantNet Plant Identification in Google Play

  • PlantNet Plant Identification PC Install

    4. Download and Install PlantNet Plant Identification

  • PlantNet Plant Identification PC

    5. On install completion click the icon to start

  • PlantNet Plant Identification PC
    PlantNet Plant Identification PC PlantNet Plant Identification PC

    6. Enjoy playing PlantNet Plant Identification on PC with MEmu

Why Use MEmu for PlantNet Plant Identification

MEmu Play is the best Android emulator and 100 million people already enjoy its superb Android gaming experience. The MEmu virtualization technology empowers you to play thousands of Android games smoothly on your PC, even the most graphic-intensive ones.

  • Bigger screen with better graphics; Long duration, without limitation of battery or mobile data.

  • Full Keymapping support for precise control of keyboard and mouse or gamepad.

  • Multiple game accounts or tasks on single PC at one time with Multi-Instance manager.

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PlantNet Plant Identification - FAQs

  • How to use PlantNet Plant Identification on PC?

    Use PlantNet Plant Identification on PC by following steps:

    • Download MEmu, then install and launch it
    • Login to Google Play Store, install the app
    • Enjoy using the app on PC with MEmu
  • What are the minimum system requirements to run PlantNet Plant Identification on PC?
    • Intel or AMD Processor
    • Microsoft Windows 7 and above
    • 2GB of memory
    • 5GB of free disk space
    • Hardware Virtualization Technology
PlantNet Plant Identification PC
PlantNet Plant Identification PC
PlantNet Plant Identification PC
PlantNet Plant Identification PC