FlowerChecker

FlowerChecker
IndustryMachine learning
Founded2014
Headquarters
Brno
,
Czech Republic
Key people
Ondřej Veselý, Ondřej Vild, Jiří Řihák
ProductsPlant.id, Plant.Health, Insect.id, Mushroom.id
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[edit]

FlowerChecker offers multiple products.

The FlowerChecker app was launched in April 2014 for Android and later that year for iOS. [2][3][5] It enables users to submit photographs of the object they want to identify.[2][3]The photographs are then examined by an international team of experts in botany and horticulture.[2][3]

Plant.id is a machine learning-based plant identification API launched in 2018,[6] with the plant disease identification API - Plant.id Health Assessment released in April 2022.[4] The Plant.id API is suitable for integration into other software, such as mobile apps[7] and urban trees from remote-sensing imagery.[8]

Insect.id and Mushroom.id are both machine learning-based identification APIs with online public demos.

Recognition[edit]

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 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 API achieved the highest accuracy compared to other plant species recognition tools.[10] 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.[8]

Research activities[edit]

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.[11]

References[edit]

  1. ^ "Skenovat krajinu dronem, invazní druhy hubit robotem. Podivné vize ochrany přírody budoucnosti". Radio Wave (in Czech). 2023-11-28. Retrieved 2024-03-11.
  2. ^ a b c d "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.
  3. ^ a b c d e "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.
  4. ^ a b c "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.
  5. ^ a b "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.
  6. ^ "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. Archived from the original on 12 May 2018. Retrieved 14 November 2020.
  7. ^ a b 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): plaa052. doi:10.1093/aobpla/plaa052. ISSN 2041-2851. PMC 7640754. PMID 33173573.
  8. ^ a b 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: 103735. doi:10.1016/j.jag.2024.103735. ISSN 1569-8432.
  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.
  11. ^ "Přijaté návrhy projektů do veřejné soutěže 6. veřejná soutěž programu TREND, PP1". Technologická agentura ČR (in Czech). Retrieved 2024-03-11.
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