Case Study: Regrow Ag achieves scalable regenerative agriculture insights with Looker

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

Regrow Ag needed a scalable way to extend its data-driven regenerative agriculture solutions beyond the U.S. corn belt into international markets while helping brands and farmers reduce supply-chain emissions. Using Looker alongside Google Cloud tools, the company wanted a single platform to support geospatial analytics, machine learning, and product delivery without getting bogged down by infrastructure complexity.

Looker helped Regrow Ag centralize data workflows and turn field-level imagery and models into actionable sustainability insights. The solution supported monitoring of tillage intensity, crop classification, and cover crops, while enabling APIs for soil carbon estimates and field monitoring data. As a result, Regrow Ag could operate at scale, serve customers more efficiently, and provide sustainability insights that help clients measure emissions and identify where to intervene to reduce carbon intensity.

Regrow Ag

John Shriver

Director of Data Science