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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]
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]
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]
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)
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.
An image search engine is a search engine that is designed to find an image. The search can be based on keywords, a picture, or a web link to a picture. The results depend on the search criterion, such as metadata, distribution of color, shape, etc., and the search technique which the browser uses.
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