FlowerChecker

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]

FlowerChecker
IndustryMachine learning
Founded2014
Headquarters
Brno
,
Czech Republic
Key people
Ondřej Veselý, Ondřej Vild, Jiří Řihák
ProductsPlant identification
Websitewww.flowerchecker.com/en

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. "FlowerChecker aneb řekněte mi, co je to za kytku... Globální úspěch z Česka, který tvůrci nechtěli" [FlowerChecker: tell me what this plant is… Unwanted, yet global success coming from the Czech Republic]. tyinternety.cz (in Czech). 28 December 2014. Retrieved 14 November 2020.
  2. "Co je tohle za kytku? S určováním rostlin pomůže nová aplikace. Stačí poslat fotku" [What is the name of this plant? A new application will help with plant identification. Just send a photo]. Ekolist.cz (in Czech). 30 April 2014. Retrieved 14 November 2020.
  3. Maunder, Patricia (2017-11-14). "Tech Know". The Sydney Morning Herald. Retrieved 2020-05-05.
  4. Čížek, Jakub. "FlowerChecker: Botanici za dvacku prozradí, co vám roste na zahradě" [FlowerChecker: Botanists will tell you what is growing in your garden for twenty crowns]. Živě.cz (in Czech). Retrieved 14 November 2020.
  5. "Původně byznys nechtěli, ale nějak se to zvrhlo. Česká aplikace na rozpoznání kytek vydělala miliony" [Initially, they didn’t want a business, but somehow it went wrong. Czech plant identification application has made millions.]. cc.cz (in Czech). 4 May 2022. Retrieved 27 June 2022.
  6. "Aplikace rozpoznává rostliny z celého světa. Díky botanikům i umělé inteligenci" [An application can identify plants from all over the world. Thanks to botanists and artificial intelligence]. Brněnský Deník (in Czech). 8 September 2016. Retrieved 14 November 2020.
  7. "Tvůrci FlowerCheckeru spouštějí Shazam pro kytky. Plant.id staví na AI a má velké plány" [The creators of FlowerChecker are launching Shazam for plants. Plant.id is based on AI and has big plans]. tyinternety.cz (in Czech). 7 May 2018. Retrieved 14 November 2020.
  8. 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. PMC 7640754. PMID 33173573.
  9. "V soutěži AI Awards uspěli tvůrci aplikací na určování rostlin nebo na rozpoznávání únosců po hlase" [Authors of applications for plant identification or voice recognition of abductors were successful at the AI Awards]. ihned.cz (in Czech). 13 May 2019. Retrieved 14 November 2020.
  10. 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. Retrieved 27 June 2022.
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