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请下载并共享PlantNet Plant Identification - v3.0.5,它是类别教育 2中的特色应用之一。
另外,还有一些其他应用可以作为Simulacro MTC ? Examen de Reglas de Tránsito 2021, uLesson - Your Learning App, Pydroid 3 IDE for Python 3 Premium APK v3.02 MOD APK, Andu Elearning, Dr. Najeeb Lectures Mod APK v1.0.13 MOD APK, HSK Online — HSK Study and Exams下载。如果您对PlantNet Plant Identification - v3.0.5感到满意。
PlantNet Plant Identification - v3.0.5发布,PlantNet Plant Identification - v3.0.5是当今最好的免费和最佳手机应用程序之一。位于应用商店的教育 2类别中。
PlantNet Plant Identification - v3.0.5的最低操作系统为4.1 and up及更高版本。因此,如果尚未升级手机,则必须更新。
在APKDroid上,您将免费下载PlantNet Plant Identification - v3.0.5 APK,最新版本为3.0.5,发布日期为2020-03-12,文件大小为14.5 MB。根据Google Play商店的统计数据,大约有1000次下载。您可以根据需要更新在Android上单独下载或安装的应用。还可以更新您的应用。您可以使用最新功能并提高安全性和应用程序的稳定性。现在就享受它
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