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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]
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.
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]
The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.
[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 ...
SimTandem is a database search engine for identification of peptide sequences from LC/MS/MS data. The engine can be used as an external tool in OpenMS/TOPP. [23] SQID Open source: SeQuence IDentification (SQID) is an intensity-incorporated protein identification algorithm for tandem mass spectrometry. Tide (rewrite of Crux) Open source
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