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Pl@ntNet is a global citizen science project which provides an app and a website for plant identification through photographs, based on machine-learning; Leaf Snap is an iOS app developed by the Smithsonian Institution that uses visual recognition software to identify North American tree species from photographs of leaves. [citation needed]
It only takes two simple steps to use the iPhone Visual Lookups tool. Snap a photo of the plant you're trying to identify. Navigate to that picture in your Photos app and swipe up.
An app for smartphones (and a web version) was launched in 2013, [4] which allows to identify thousands of plant species from photographs taken by the user. It is available in several languages. As of 2019 it had been downloaded over 10 million times, in more than 180 countries worldwide. [1]
Observations are classified as "Casual", "Needs ID" (needs identification), or "Research Grade" based on the quality of the data provided and the community identification process. [22] Any quality of data can be downloaded from iNaturalist and "Research Grade" observations are often incorporated into other online databases such as the Global ...
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1. In the upper right-hand corner, click Settings.. 2. Click the post you want to delete the comment from. 3. Find your comment and click Delete.. 4. Click OK to confirm you want your comment deleted.
Plantix is a mobile crop advisory app for farmers, extension workers and gardeners. Plantix was developed by PEAT GmbH, a Berlin-based AI startup. [1] The app is capable of diagnosing plant damages (caused by pests, diseases or nutrient deficiencies) based on digital images of symptoms.