Chestny ZNAK – Quality Control 與 PlantNet Plant Identification 使用情況與統計

Your main assistant for product quality tracking and counterfeit detection. Chestny ZNAK is a free application, which allows you to scan labels, QR codes and Data Matrix codes. Simply scan the digital code on the product label, the application then verifies the manufacturer’s marking type and instantly displays the result. You can verify the originality of your purchases, protect yourself from counterfeits and find out all the information about – the manufacturer – the date, time and place of production – expiration date – the logistics of goods from the factory to the store and much more. If your purchase has been marked, you will find out if it is a genuine, non-counterfeit product. If the application detects a violation during verification, you can report it. Depending on the type of violation, a complaint will be forwarded to the relevant control and supervision services. They will analyze appeals and review unscrupulous manufacturers. The scanner determines authenticity of the marking codes for tobacco and shoe products, medicine, fur coats and natural fur products, consumer goods, cameras and flashlamps, perfume and tires. Milk products, bicycles and wheelchairs will also become available for verification in 2020. All suggestions and questions about the app you can send to support@crpt.ru.
  • Google Play 商店
  • 免費版
  • 購物

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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/
  • Google Play 商店
  • 免費版
  • 教育

使用排名

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Chestny ZNAK – Quality Control與 PlantNet Plant Identification 比較排名

比較過去 28 天的 Chestny ZNAK – Quality Control 排名趨勢與 PlantNet Plant Identification

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PlantNet Plant IdentificationPlantNet Plant Identification#3,274

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各國 Chestny ZNAK – Quality Control vs. PlantNet Plant Identification 排名比較

比較過去 28 天的 Chestny ZNAK – Quality Control 排名趨勢與 PlantNet Plant Identification

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Chestny ZNAK – Quality Control VS.
PlantNet Plant Identification

1月 6, 2025