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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]
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.
A system developed in 2022 [7] showed that automated identification achieves accuracy that is sufficiently high for being used in an automated insect surveillance system using electronic traps. By training classifiers on a few hundred images it correctly identified fruit-flies, and can be used for continuous monitoring aimed at detecting ...
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]
Digital automated identification system (DAISY) is an automated species identification system optimised for the rapid screening of invertebrates (e.g. insects) by non-experts (e.g. parataxonomists). It was developed by Dr. Mark O'Neill during the mid-1990s. Development was supported by funding from the Darwin Initiative in 1997 [1] and BBSRC. [2]
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)
DistroWatch, well known in the Linux community and often used as a rough guide to free operating system popularity, publishes page hits for each of the Linux distributions and other operating systems it covers. As of 27 March 2020, using a data span of the last six months it placed FreeBSD in 21st place with 452 hits per day, GhostBSD in 51st ...
General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).