Case Study: Regrow Ag achieves scalable regenerative agriculture growth with Google Cloud Platform

Regrow Ag Accelerating the transition to sustainable food and fiber production with data science

Regrow Ag uses Google Cloud Platform and Google Earth Engine to scale its data-driven regenerative agriculture solutions beyond the U.S. corn belt into international markets. The company needed a scalable, trusted platform to support geospatial analytics, machine learning, and product development for monitoring emissions and regenerative practices across supply chains.

Google Cloud Platform implemented a workflow using Earth Engine, Vertex AI, BigQuery, Cloud Storage, SQL-based stores, and Apigee X to build, train, deploy, and serve geospatial models and APIs. The solution enabled Regrow Ag to monitor tillage intensity, crop classification, cover crops, and soil carbon estimates at field level, while helping customers measure emissions and identify reduction opportunities.

Regrow Ag

John Shriver

Director of Data Science