Category Archives: Technology

R&D projects with EXAgT participation, current status

Assessment Swarm Our joint project “Boniturschwarm” of the TU Dresden, Chair of Agricultural Systems Engineering and EXAgT GmbH has been running for three months as part of LAND.VISION. The aim of this project is to increase the productivity of the … Continue reading

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GPS innovations for end users, drone flying – a gimmick?

While the news has recently been dominated by GPS interference from Russia at its borders and in the Baltic Sea, there have also been positive developments. The media hype surrounding the European GPS alternative/supplement Galileo has died down in recent … Continue reading

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News from ISO FARM RESEARCH (IFR)

At Agritechnica 2023, AMAZONE, EXA Computing, geo-konzept, Hanse-Agro, the Kiel University of Applied Sciences, the start-up AgDoIT and we received the DLG-Agrifuture Concept Winner award. Now it’s time to turn this concept into reality! We started with the automated trial … Continue reading

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Application maps for growth regulators / Project “Boniturschwarm” (assessment swarm)

Starting this year, we have been using our expertise not only to plan application maps for fertilisation, but also for growth regulators. As with N fertilisation, this is based on satellite data. As usual with EXAgT, we support you with … Continue reading

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The problem of “automated” agronomy and in practice Satellite vs. plant sensor

While browsing the LinkedIn platform, I found this interesting picture of Nathan Faleide, an AgTech specialist from the USA, seehttps://www.linkedin.com/in/nathan-faleide-036b43b5/ This illustrates my current experience in the creation of management zone maps (“potential maps”) from multi-year satellite data very well. … Continue reading

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Challenges in the autumn satellite scan in late autumn 2023, you can still join!

Since 2017, we have been successfully offering our “N fertilisation according to the measurement of N uptake by satellite in autumn” service for winter oilseed rape and winter wheat/barley/rye. This is based on cloud-free Sentinel-2 satellite measurement data before dormancy … Continue reading

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