Case Study: Corteva Agriscience achieves faster, lower-cost agricultural analytics with Google Cloud Platform

Corteva Agriscience Improving crop insights and yields with AI

Corteva Agriscience, a pure-play agriculture company, needed a scalable way to deliver geospatial analytics and crop insights faster to customers while handling large volumes of satellite imagery and analytical data for agricultural risk management and crop monitoring. To meet this challenge, Corteva worked with S4 Agtech on Google Cloud Platform, using tools such as BigQuery, BigQuery GIS, Cloud Dataflow, and Cloud SQL.

Google Cloud Platform helped Corteva transform its agricultural analytics workflow by streamlining image and data processing. The result was a 40% decrease in database and analytics costs, 80% lower storage and processing costs, and analytical results delivered 25% faster, while eliminating time-consuming image downloads and significantly reducing classification processing times.

Corteva Agriscience

Jeremy Groeteke

U.S. Digital Ag Lead