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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]
As with all technology, your phone isn't always 100% accurate—its knowledge is tied to entries and other images that look like your plant. So always double-check with an expert in your area if ...
[5] [6] iNaturalist includes an automated species identification tool, and users further assist each other in identifying organisms from photographs and even sound recordings. As of 25 December 2024 [update] , iNaturalist users had contributed approximately 222,324,751 observations of plants, animals, fungi, and other organisms worldwide, and ...
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]
Reference collections of identified plant specimens are collected into herbaria. Most plant parts are dried, pressed, mounted on herbarium sheets and stored; succulents and some other types of plants are normally kept in alcohol solution. The sheets are standard size of 16 1 ⁄ 2 × 11 1 ⁄ 2 inches or 41.25 × 28.75 cm. The identified plant ...
This is an incomplete list of notable applications (apps) that run on iOS where source code is available under a free software/open-source software license.Note however that much of this software is dual-licensed for non-free distribution via the iOS app store; for example, GPL licenses are not compatible with the app store.