Gamaya
Gamaya is a Swiss company which provides drones equipped with hyper-spectral cameras for use in agriculture.[1][2]
Industry | Farming technology |
---|---|
Founded | 2015 |
Founder | Dragos Constantin, Igor Ivanov and Yosef Akhtman |
Headquarters | Morges, Switzerland |
Key people | Igor Ivanov (CEO) |
Services | Hyperspectral cameras, precision faming |
Website | www |
The company has 35 employees and is located in Morges, Switzerland.[3] Igor Ivanov is the current company CEO.[4]
History
Gamaya was founded in 2015 as an EPFL laboratory spinoff by co-founders Dragos Constantin, Igor Ivanov and Yosef Akhtman.[5]
In 2016, the company raised an investment round of $3.2 million from the Sandoz Family Foundation, Peter Brabeck-Letmathe, Seed4Equity, and VI Partners.[6]
In 2017, Gamaya received the Swiss Economic Forum Hightech award[7][8] as well as the Nvidia Inception award.[9]
In 2019, the company raised a second round of investment of CHF 12 million, led by Mahindra & Mahindra.[10][11]
Hyperspectral camera technology
Gamaya's hyperspectral camera technology was developed between 2013 and 2015 through the EPFL Leman-Baikal project.[12] It captures 40 different bands of light.[2] Hyperspectral images shot with a drone are then used to generate a survey of the land.[13] The data can be used for detecting invasive species and crop diseases, predicting yields, or for optimising soil treatment and fertilisation.[9]
Gamaya's cameras have been used in a few scientific studies as part of data collection for hyperspectral survey of agricultural crops.[14][15][16]
References
- Fehrenbacher, Katie (2016-05-23). "This Startup Is Changing Farming With Drones and AI". Fortune. Retrieved 2020-07-01.
- O'Dea, Clare (2020-04-22). "How Swiss technology is changing farming". SWI swissinfo.ch. Retrieved 2020-07-03.
- Thoele, Alexander (2019-07-04). "Une start-up suisse développe des caméras qui «parlent» aux plantes" [A Swiss startup develops cameras which "talk" to plants]. SWI swissinfo.ch (in French). Retrieved 2020-07-03.
- "New CEOs for ambitious start-ups". www.startupticker.ch. Retrieved 2021-07-19.
- Zaki, Myret (2017-05-05). "Drones et agriculture: Gamaya remporte le Prix Strategis 2017" [Drones and agriculture: Gamaya wins the Strategis Award]. Bilan (in French). Retrieved 2020-07-01.
- "Nestle Chairman Commits to $3.2m Series A for Hyperspectral Drone Imagery Company Gamaya". AgFunderNews. 2016-05-25. Retrieved 2020-07-03.
- kaczor, Piotr (2017-06-06). "Deux lauréats romands et un zurichois primés". Agefi (in French). Retrieved 2020-07-01.
- Zeitung, Jungfrau (2017-06-02). "Die besten Jungunternehmen der Schweiz stehen fest". Jungfrau Zeitung (in German). Retrieved 2020-07-03.
- Ohr, Thomas (2017-10-11). "Meet Gamaya: The farmland analytics startup that just won the Inception Awards at GTC Europe". EU-Startups. Retrieved 2020-07-03.
- Ohr, Thomas (2019-07-19). "Swiss AgTech startup Gamaya raises about €10.9 million Series B funding to expand crop intelligence solutions". EU-Startups. Retrieved 2020-07-03.
- Gaur, Vatsala (2019-06-14). "M&M picks up 11.25% in Swiss Agri-tech firm Gamaya". The Economic Times. Retrieved 2020-07-03.
- "Leman-Baikal Project". EPFL. Retrieved 2020-07-03.
- Kite-Powell, Jennifer (2015-08-24). "Sensors, Insects, Drones And Sustainable Nitrogen Define Innovation In European AgTech Start Ups". Forbes. Retrieved 2020-07-03.
- Danilov, Roman; Zelensky, Roman; Ponomarev, Artyom; Ivanisova, Mariya; Gasiyan, Kseniya (2020). "Development of precision methods for remote monitoring of weeds". BIO Web of Conferences. 21: 00003. doi:10.1051/bioconf/20202100003. ISSN 2117-4458.
- Akhtman, Y.; Golubeva, E.; Tutubalina, O.; Zimin, M. (2017-12-29). "Application of hyperspectral images and ground data for precision farming". Geography, Environment, Sustainability. 10 (4): 117–128. doi:10.24057/2071-9388-2017-10-4-117-128. Retrieved 2020-07-01.
- Förster, Michael; Schmidt, Tobias; Wolf, Roman; Kleinschmit, Birgit; Fassnacht, Fabian E.; Cabezas, Julián; Kattenborn, Teja (2017-06-01). "Detecting the spread of invasive species in central Chile with a Sentinel-2 time-series". 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp). pp. 1–4. doi:10.1109/Multi-Temp.2017.8035216. ISBN 978-1-5386-3327-4. S2CID 3267718.