MagicScout vs PlantNet Plant Identification使用状況と統計

You can't make good decisions if you don't have all the information needed. That's why MagicScout - the tool for crop farming professionals - is now available. The app structures your field observations so you can make even better decisions. Save time by identifying causes of damage within seconds or automate your scouting trips with smart technology. MagicScout at a glance: - Identification of weeds and diseases with image recognition - Photo analysis of yellow traps - Agricultural weather 2.0 with spray weather recommendations - Clear field profiles to complement your farm management system // Identify problems: With integrated image recognition, you can identify weeds and diseases quickly and easily. You can also analyze pests in your yellow traps. Within seconds you have documented the causes of damage in your field - even without an internet connection. // Analyze agricultural weather: With Agriweather 2.0 you can now better understand how your crops are developing, what is stressing them and when you should react. MagicScout calculates ideal spraying windows for you and will soon offer analysis of historical weather data. // Generate field profile: MagicScout generates a clear field profile for you, so that you have all the relevant information at your fingertips, anytime, anywhere. Questions like "Have I had this weed in this spot in the last few years?" or "What are the stress factors in my field?" are now a thing of the past. // Automate Scouting Trips: Always wanted to monitor your crops remotely? With the smart insect trap MagicTrap, you can be in the field without being in the field. Connect your digital yellow trap to MagicScout for an even better response to pest influxes. If you have any questions or comments about MagicScout, please feel free to use the contact option within the app or send us an email directly to “innovationlab@bayer.com”. We are always happy to receive your feedback and will implement it as soon as possible. "We" are the Digital Farming Innovation Lab, by the way. A team of the Bayer AG. We not only develop apps, but also manage the Laacher Hof in Monheim with over 300 hectares of arable land. That's why you can find us on social media as @laacherhof. Feel free to drop by to see what digital farming means to us.

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PlantNet Plant Identification

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/