Company:Kindwise

From HandWiki
FlowerChecker
IndustryMachine learning
Founded2014; 12 years ago (2014)
Founder
  • Ondřej Veselý
  • Jiří Řihák
  • Ondřej Vild
Headquarters
Brno
,
Czech Republic
Productsplant.id, insect.id, mushroom.id, plant.health, crop.health
Websitewww.kindwise.com

FlowerChecker, also known as Kindwise,[1] is a company that uses machine learning to identify natural objects from images. This includes plants and their diseases, but also insects and mushrooms.[2][3][4] It is based in Brno, Czech Republic. It was founded in 2014 by Ondřej Veselý, Jiří Řihák, and Ondřej Vild, at the time Ph.D. students.[3][5]

Features & Tools

FlowerChecker offers multiple products.

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][8] or urban trees from remote-sensing imagery.[9]

Other products include insect.id,[10] mushroom.id[11] and crop.health[12] are machine learning-based identification APIs for the identification of insects, fungi and economically important plants,[13] respectively, and include also online public demos.

The FlowerChecker app was discontinued in October 2024 after 10 years of successful operation.[2][3][5]

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.[14] In 2020, an academic study comparing ten free automated image recognition apps showed that plant.id's performance excelled in most of the parameters studied.[7] In an independent study comparing different image-based species recognition models and their suitability for recognizing invasive alien species, the plant.id achieved the highest accuracy compared to other tools.[15] In a subsequent study, plant.id was utilized to evaluate urban forest biodiversity using remote-sensing imagery, achieving the highest accuracy in tree species identification among compared methods.[9] The technology has also been referenced as an example of practical integration of AI-based plant identification into cross-platform precision agriculture systems.[16]


Research activities

Flowerchecker cooperates with the Nature Conservation Agency of the Czech Republic on a biodiversity mapping project.[4]

FlowerChecker plans to adapt its services to participate in the control of invasive species. In 2022, the company entered a consortium to develop a weeder capable of in-row weed detection and removal.[17]

In 2025, it received funding for the development of a technology for the removal of invasive species.[18]

References

  1. ↑ "Skenovat krajinu dronem, invazní druhy hubit robotem. Podivné vize ochrany přírody budoucnosti" (in cs). 2023-11-28. https://wave.rozhlas.cz/skenovat-krajinu-dronem-invazni-druhy-hubit-robotem-podivne-vize-ochrany-prirody-9123028. 
  2. ↑ 2.0 2.1 "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/. 
  3. ↑ 3.0 3.1 3.2 "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. 
  4. ↑ 4.0 4.1 4.2 "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/. 
  5. ↑ 5.0 5.1 "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. 
  6. ↑ "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/. 
  7. ↑ 7.0 7.1 Jones, Hamlyn G (2020). "What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora". AoB Plants 12 (6). doi:10.1093/aobpla/plaa052. ISSN 2041-2851. PMID 33173573. 
  8. ↑ Khan, N. R.; Shaikh, M. A.; Shaikh, S. A. (2025). "Plantonome: A cross-platform application for precision agriculture". E3S Web of Conferences (EDP Sciences) 564: 00022. https://www.e3s-conferences.org/articles/e3sconf/abs/2025/01/e3sconf_icegc2024_00022/e3sconf_icegc2024_00022.html. Retrieved 2025-10-16. 
  9. ↑ 9.0 9.1 Velasquez-Camacho, Luisa; Merontausta, Esko; Etxegarai, Maddi; de-Miguel, Sergio (2024-04-01). "Assessing urban forest biodiversity through automatic taxonomic identification of street trees from citizen science applications and remote-sensing imagery". International Journal of Applied Earth Observation and Geoinformation 128. doi:10.1016/j.jag.2024.103735. ISSN 1569-8432. 
  10. ↑ "insect.id AI Insect Identification API by kindwise" (in en). https://www.kindwise.com/insect-id. 
  11. ↑ "mushroom.id AI Mushroom Identification API by kindwise" (in en). https://www.kindwise.com/mushroom-id. 
  12. ↑ "crop.health AI Crop Disease Identification API by kindwise" (in en). https://www.kindwise.com/crop-health. 
  13. ↑ "crop.health AI Crop Disease Identification API by kindwise" (in en). https://www.kindwise.com/crop-health. 
  14. ↑ "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. 
  15. ↑ 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 978-92-76-46721-2. https://op.europa.eu/en/publication-detail/-/publication/91584805-79a1-11ec-9136-01aa75ed71a1/language-en. Retrieved 27 June 2022. 
  16. ↑ Khan, N. R.; Shaikh, M. A.; Shaikh, S. A. (2025). "Plantonome: A cross-platform application for precision agriculture". E3S Web of Conferences (EDP Sciences) 564: 00022. https://www.e3s-conferences.org/articles/e3sconf/abs/2025/01/e3sconf_icegc2024_00022/e3sconf_icegc2024_00022.html. Retrieved 2025-10-16. 
  17. ↑ "Přijaté návrhy projektů do veřejné soutěže 6. veřejná soutěž programu TREND, PP1" (in cs-CZ). https://www.tacr.cz/dokumenty/prijate-navrhy-projektu-do-verejne-souteze-6-verejna-soutez-programu-trend-pp1. 
  18. ↑ "Program Prostředí pro život 2: Vyhlášení výsledků 1. veřejné soutěže" (in cs-CZ). 2025-02-06. https://tacr.gov.cz/program-prostredi-pro-zivot-2-vyhlaseni-vysledku-1-verejne-souteze/. 



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