Gamaya

Last updated
Gamaya
IndustryFarming technology
Founded2015
FounderDragos Constantin, Igor Ivanov and Yosef Akhtman
Headquarters Morges, Switzerland
Key people
Igor Ivanov (CEO)
ServicesHyperspectral cameras, precision faming
Website www.gamaya.com

Gamaya is a Swiss company which provides drones equipped with hyper-spectral cameras for use in agriculture. [1] [2]

Contents

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]

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References

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  2. 1 2 O'Dea, Clare (2020-04-22). "How Swiss technology is changing farming". SWI swissinfo.ch. Retrieved 2020-07-03.
  3. 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.
  4. "New CEOs for ambitious start-ups". www.startupticker.ch. Retrieved 2021-07-19.
  5. 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.
  6. "Nestle Chairman Commits to $3.2m Series A for Hyperspectral Drone Imagery Company Gamaya". AgFunderNews. 2016-05-25. Retrieved 2020-07-03.
  7. kaczor, Piotr (2017-06-06). "Deux lauréats romands et un zurichois primés". Agefi (in French). Retrieved 2020-07-01.
  8. Zeitung, Jungfrau (2017-06-02). "Die besten Jungunternehmen der Schweiz stehen fest". Jungfrau Zeitung (in German). Retrieved 2020-07-03.
  9. 1 2 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.
  10. 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.
  11. Gaur, Vatsala (2019-06-14). "M&M picks up 11.25% in Swiss Agri-tech firm Gamaya". The Economic Times. Retrieved 2020-07-03.
  12. "Leman-Baikal Project". EPFL. Retrieved 2020-07-03.
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  14. 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.
  15. 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.
  16. 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.