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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.
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 Simulation: Siemens PLM Software: Software that enables the simulation and optimization of production systems and processes. May 3, 2019 [10] Simcad Pro: CreateASoft, Inc Discrete event simulation software. On-The-Fly model changes while the simulation is running. Visual interface with no coding environment. Includes VR and Physics engine.
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 ...
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 ...
A May 2015 DistroWatch review of OpenIndiana similarly concluded that little major progress had been made to the system over the years. [34] The review stated that the package selection and hardware support seemed to lag behind other systems, while many of the system administration features have either replicated or ported to Linux and BSD.
In biology, determination is the process of matching a specimen or sample of an organism to a known taxon, for example identifying a plant as belonging to a particular species. Expert taxonomists may perform this task, but structures created by taxonomists are sometimes used by non-specialists.
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]