下载 PlantNet Plant Identification - v3.0.5

您听说过PlantNet Plant Identification - v3.0.5或Simulacro MTC ? Examen de Reglas de Tránsito 2021, Duolingo v5.35.4 APK + MOD (Premium/All 已解锁) MOD APK, Pydroid 3 IDE for Python 3 Premium APK v3.02 MOD APK, HSK Online — HSK Study and Exams, Mobile C [ C/C++ Compiler ], Words Booster: Learn Languages，是类别教育 2中最酷的应用之一。

当然，您知道并非所有游戏或应用程序都兼容所有手机。游戏或应用程序有时在您的设备上不可用，这取决于系统版本。Android操作系统，屏幕分辨率或国家/地区Google Play允许访问。这就是APKPanda提供Android APK文件供您下载且不遵守这些限制的原因。>
PlantNet Plant Identification - v3.0.5的最新版本为3.0.5，发行日期为2020-03-12，大小为14.5 MB。由plantnet-project.org开发，PlantNet Plant Identification - v3.0.5至少需要Android版本4.1 and up。因此，如有必要，您必须更新手机。

负载量很大，大约有1000次下载。您可以根据需要更新已单独下载或安装在Android设备上的应用程序。更新应用程序使您可以访问最新功能，并提高应用程序的安全性和稳定性。

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/

The new version of Pl@ntNet includes many improvements and new features:
-Ability to filter recognized species by genus or family
-Differentiated data revision that gives more weight to users who have the most skills
-Re-identification of shared observations
-Multi-flora identification to search for the plant in all the floras
-Selection of your favorite floras
-Navigation at different taxonomic levels in image galleries
-Mapping of your observations
-Links to many factsheets