Company:FlowerChecker
| Industry | Machine learning |
|---|---|
| Founded | 2014 |
| Headquarters | Brno , |
Key people | Ondřej Veselý, Ondřej Vild, Jiří Řihák |
| Products | Plant identification |
| Website | www |
FlowerChecker is a European company based in Brno, Czech Republic focused on plant identification.[1][2] In addition to plants, FlowerChecker also focuses on the identification of mosses, lichens, and fungi.[3][4][5] It was founded in 2014 by Ondřej Veselý, Jiří Řihák, and Ondřej Vild, at the time Ph.D. students.[2][6]
Features & Tools
FlowerChecker offers two different solutions - FlowerChecker mobile app and Plant.id API.[7]
The FlowerChecker app was launched in April 2014 for Android and later that year for iOS.[1][2][6] It requires users to submit photographs of the object they want to identify.[1][2] The photographs are then examined by an international team of experts from the field of botany and horticulture.[1][2]
Plant.id is a machine learning-based plant identification API launched in 2018,[7] with the plant diseases identification API - Plant.id Health Assessment released in April 2022.[5] The Plant.id API is suitable for integration into other software such as mobile apps.[8]
Recognition
In 2019, FlowerChecker won the Idea of the Year award in the AI Awards organized by the Confederation of Industry of the Czech Republic.[9] In 2020, an academic study comparing ten free automated image recognition apps showed that the Plant.id's performance excelled in the most of the studied parameters.[8] In an independent study comparing different image-based species recognition models and their suitability for recognizing invasive alien species, the Plant.id API achieved the highest accuracy compared to other plant species recognition tools.[10]
Research activities
Flowerchecker cooperates with the Nature Conservation Agency of the Czech Republic on a biodiversity mapping project.[5]
References
- ↑ 1.0 1.1 1.2 1.3 "FlowerChecker aneb řekněte mi, co je to za kytku... Globální úspěch z Česka, který tvůrci nechtěli" (in cs). 28 December 2014. https://tyinternety.cz/startupy/flowerchecker-globalni-uspech-ceska-ktery-se-nestane/. Retrieved 14 November 2020.
- ↑ 2.0 2.1 2.2 2.3 2.4 "Co je tohle za kytku? S určováním rostlin pomůže nová aplikace. Stačí poslat fotku" (in cs). 30 April 2014. https://ekolist.cz/cz/zelena-domacnost/rady-a-navody/co-je-tohle-za-kytku-s-urcovanim-rostlin-pomuze-nova-aplikace-staci-poslat-fotku. Retrieved 14 November 2020.
- ↑ Maunder, Patricia (2017-11-14). "Tech Know". https://www.smh.com.au/technology/m18techknow-20170921-gym90h.html.
- ↑ Čížek, Jakub. "FlowerChecker: Botanici za dvacku prozradí, co vám roste na zahradě" (in cs). https://www.zive.cz/bleskovky/flowerchecker-botanici-za-dvacku-prozradi-co-vam-roste-na-zahrade/sc-4-a-174885/default.aspx. Retrieved 14 November 2020.
- ↑ 5.0 5.1 5.2 "Původně byznys nechtěli, ale nějak se to zvrhlo. Česká aplikace na rozpoznání kytek vydělala miliony" (in cs). 4 May 2022. https://cc.cz/puvodne-byznys-nechteli-ale-nejak-se-to-zvrhlo-ceska-aplikace-na-rozpoznani-kytek-vydelala-miliony/. Retrieved 27 June 2022.
- ↑ 6.0 6.1 "Aplikace rozpoznává rostliny z celého světa. Díky botanikům i umělé inteligenci" (in cs). Brněnský Deník. 8 September 2016. https://brnensky.denik.cz/zpravy_region/aplikace-rozpoznava-rostliny-z-celeho-sveta-diky-botanikum-i-umele-inteligenci-20160908.html. Retrieved 14 November 2020.
- ↑ 7.0 7.1 "Tvůrci FlowerCheckeru spouštějí Shazam pro kytky. Plant.id staví na AI a má velké plány" (in cs). 7 May 2018. https://tyinternety.cz/startupy/tvurci-flowercheckeru-spousteji-shazam-pro-kytky-plant-id-stavi-na-ai-a-ma-velke-plany/. Retrieved 14 November 2020.
- ↑ 8.0 8.1 Jones, Hamlyn G (23 September 2020). "What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora". AoB Plants 12 (6): plaa052. doi:10.1093/aobpla/plaa052. ISSN 2041-2851. PMID 33173573.
- ↑ "V soutěži AI Awards uspěli tvůrci aplikací na určování rostlin nebo na rozpoznávání únosců po hlase" (in cs). 13 May 2019. https://byznys.ihned.cz/c1-66563320-v-soutezi-ai-awards-uspeli-tvurci-aplikaci-na-urcovani-rostlin-nebo-na-rozpoznavani-unoscu-po-hlase. Retrieved 14 November 2020.
- ↑ Jakuschona, Nick; Niers, Tom; Stenkamp, Jan; Bartoschek, Thomas; Schade, Sven (18 January 2022). "Evaluating image-based species recognition models suitable for citizen science application to support European invasive alien species policy". European Commission, Joint Research Centre. doi:10.2760/97305. ISBN 9789276467212. https://op.europa.eu/en/publication-detail/-/publication/91584805-79a1-11ec-9136-01aa75ed71a1/language-en. Retrieved 27 June 2022.
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