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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]
Automated species identification is a method of making the expertise of taxonomists available to ecologists, parataxonomists and others via digital technology and artificial intelligence. Today, most automated identification systems rely on images depicting the species for the identification. [1]
Plants identification, observation, images X Plant identification, observations, citizen science project, photographs, distribution Reptile Database: Reptiles: X Taxonomic information, names, photos ScaleNet [26] Scale insects (superfamily Coccoidea) X Nomenclature, distribution, hosts, systematics, references Tropicos [27]
Shoot (over 19,000 plants listed) Visual Interactive Kingdom Plantae to division (Louisiana State University) Interactive Plant Identifier (University of Wisconsin) Interactive Plant Identifier (Auburn University) Archived 2015-12-09 at the Wayback Machine; Image-based plant identification system (French Flora, Pl@ntNet project)
POWO has information on taxonomy, identification, distribution, traits, threat status and use of plants worldwide. It also contains many images. [6] As of September 2024, POWO contained 1,433,000 global plant names, 531,800 detailed descriptions, and 400,900 images.
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