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]
| Industry | Machine learning |
|---|---|
| Founded | 2014 |
| Founder |
|
| Headquarters | , |
| Products | Plant.id, Plant.Health, Insect.id, Mushroom.id |
| Website | www |
Features & Tools
editFlowerChecker 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.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.[8]
Other products include insect.id,[9] mushroom.id[10] and crop.health are machine learning-based identification APIs for the identification of insects, fungi and economically important plants,[11] respectively, and include also online public demos.
Recognition
editIn 2019, FlowerChecker won the Idea of the Year award in the AI Awards organized by the Confederation of Industry of the Czech Republic.[12] 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.[13] 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
editFlowerchecker 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.[14]
References
edit- ^ "Skenovat krajinu dronem, invazní druhy hubit robotem. Podivné vize ochrany přírody budoucnosti". Radio Wave (in Czech). 2023-11-28. Retrieved 2024-03-11.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ "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.
- ^ 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.
- ^ 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.
- ^ "insect.id AI Insect Identification API by kindwise". www.kindwise.com. Retrieved 2024-09-02.
- ^ "mushroom.id AI Mushroom Identification API by kindwise". www.kindwise.com. Retrieved 2024-09-02.
- ^ "crop.health AI Crop Disease Identification API by kindwise". www.kindwise.com. Retrieved 2024-09-02.
- ^ "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.
- ^ 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.
- ^ "Přijaté návrhy projektů do veřejné soutěže 6. veřejná soutěž programu TREND, PP1". Technologická agentura ČR (in Czech). Retrieved 2024-03-11.