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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.
Today, most automated identification systems rely on images depicting the species for the identification. [1] Based on precisely identified images of a species, a classifier is trained. Once exposed to a sufficient amount of training data, this classifier can then identify the trained species on previously unseen images.
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)
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Plant identification is a determination of the identity of an unknown plant by comparison with previously collected specimens or with the aid of books or identification manuals. The process of identification connects the specimen with a published name. Once a plant specimen has been identified, its name and properties are known.
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The book emphasizes family characteristics for plant identification. Related plants typically have similar floral features and often similar uses. For example, plants of the mustard family (Brassicaceae) have four petals with six stamens (4 tall, 2 short), and most or all of the 3,200 species are considered edible. [1]