Our CVPR 2026 paper presents YieldSAT — the first multimodal dataset for high-resolution crop yield prediction at field and subfield level, combining combine harvester data, Sentinel-2 time series, weather, soil and topography across 4 countries and 9 years.
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The Yield Consortium explores artificial intelligence approaches to reliably predict agricultural yields based on satellite data.
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A 2022 interview with then-DFKI researcher Marlon Nuske about the AI4EO Solution Factory and other DFKI projects.
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DFKI research department "Smart Data & Knowledge Services" (SDS) participates in a project for flood precaution measures.
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ESA InCubed and the German Research Center for Artificial Intelligence (DFKI) have signed a contract supporting a new development initiative focused on AI for earth observation.
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