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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]
Once Default observation license, Default photo license and Default sound license have all been changed, click on the “SAVE SETTINGS” button on the lower right-hand side. Images which may be shared across GBIF need to be licensed using one of the following licences: CC0 , CC-BY 4.0 or CC BY-NC, that is, the CC-BY-SA default licence will not ...
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]
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)
This is a list of plants organized by their common names. However, the common names of plants often vary from region to region, which is why most plant encyclopedias refer to plants using their scientific names , in other words using binomials or "Latin" names.