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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]
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 25 December 2024 [update] , iNaturalist users had contributed approximately 222,324,751 observations of plants, animals, fungi, and other organisms worldwide, and ...
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Applications are even available now which use artificial intelligence to identify plants on the basis of photographs. There are not always keys available for certain regions or plant groups, and the person determining the specimen will then have to rely on characteristics in the species description or discovered through comparison of multiple ...
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Amphibians, birds, butterflies, dragonflies, edible plants, freshwater fishes, mammals, plants, reptiles and Malesian mosses of Southeast Asia: X X X X X X X X X X IUCN status, habitat, regional presence/absence, description, classification BacDive: Metadatabase that provides strain-linked information about bacterial and archaeal biodiversity. X X
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