The Danish start-up ClearSky Vision has won this year's BayWa Smart Farming Challenge. The up-and-coming company uses artificial intelligence (AI) to look 'under' clouds. One of the main obstacles in satellite-based remote sensing is the presence of clouds, which limits the usefulness of satellite imagery. According to the panel of judges made up of experts from BayWa AG and its Group companies FarmFacts GmbH and Vista GmbH, ClearSky Vision's innovation has the potential to give the use of satellite data a major boost.

'Satellite data is already performing a valuable service for modern agriculture today, with our customers using it to fertilize and water specific fields or plant flower strips,' says BayWa Chief Development Officer Jörg Migende, who oversees the company's development business in its agricultural and agricultural equipment divisions. 'For a solution to gain acceptance among the largest possible group of users, however, it has to be user-friendly and accessible for all. AI can be very helpful here, as the innovation from this year's winner shows.'

Since most satellite images can only be used when taken in cloudless conditions, there are long periods throughout a year in which no data is available. ClearSky Vision's solution unlocks this previously difficult-to-leverage potential. Based on cloud simulations using originally cloud-free satellite images, the Danish company has trained its AI to forecast a variety of parameters regardless of the weather.

The BayWa Smart Farming Challenge is one of nine partner categories and 13 regional prizes in the international Copernicus Masters competition this year. Launched in 2011 by the European Space Agency (ESA) and Anwendungszentrum Oberpfaffenhofen, the annual competition works with partner companies to promote the development and deployment of business ideas for the civil use of satellite data.

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BayWa AG published this content on 10 December 2020 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 10 December 2020 08:14:04 UTC