Case Study: KWS SAAT SE achieves optimized seed sowing and higher yields with Hexagon's Safety, Infrastructure & Geospatial Division

KWS SAAT SE & Co. KGaA helps farmers optimize seed sowing with satellite imagery and yield prediction

KWS SAAT SE & Co. KGaA, the world’s fourth-largest seed producer, needed to move from manual, experience-based seed drilling to a scalable, data-driven approach that can handle terabytes of satellite imagery and produce reliable yield predictions across many countries. To do this it partnered with GEOSYSTEMS GmbH and Hexagon's Safety, Infrastructure & Geospatial Division, leveraging Hexagon tools such as ERDAS IMAGINE and ERDAS APOLLO to process Sentinel‑2 imagery and build reproducible spatial models.

Hexagon's Safety, Infrastructure & Geospatial Division implemented an automated pipeline (with GEOSYSTEMS’ IMAGINE NoClouds and ATCOR Workflow add-ons) that pre-processes roughly 5,000 tiles of Sentinel‑2 data, runs up to 10 parallel jobs, creates mosaics and delivers results in KWS’s AWS-hosted myKWS portal. The solution produces fast yield‑potential zone maps and site-specific sowing recommendations that are sent directly to seed drills, turning guesswork into scalable, reproducible advice and enabling farmers to optimize seed use and maximize yields.

KWS SAAT SE

Julita Emersleben

IT and Customer Service Expert