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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]
Plant.id is a machine learning-based plant identification API launched in 2018, [6] with the plant disease identification API, plant.health, released in April 2022. [4] The plant.id API is suitable for integration into other software, such as mobile apps [ 7 ] or urban trees from remote-sensing imagery.
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]
[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 9 July 2024 [update] , iNaturalist users had contributed approximately 197,660,888 observations of plants, animals, fungi, and other organisms worldwide, and ...
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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 ...
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