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Agricultural monitoring start-up Flurostat merges with soil carbon expert Dagan to form Regrow – TechCrunch

Flurostat and Dagan, two startups that both tackle the monitoring and management of agricultural inputs and outputs for a better understanding of the role that sustainable agriculture can play in reducing greenhouse gas emissions, have merged and launched a set of services under a new brand, Repousse.

The merger, announced yesterday, will create a company that combines Flurostat’s data-driven farm management services with Dagan’s biogeochemical soil modeling technology, the companies said in a joint statement.

The merged companies will have the ability to provide satellite-collected data to optimize crop management and adoption of conservation practices, as well as site-specific analyzes and personalized interventions for different crops, fields, farms and regions.

Dagan co-founder Dr William Salas said the merged companies would be able to gain greater control over the carbon emissions market – thanks in large part to Dagan’s work on soil carbon.

“Carbon sequestration in the soil is finally becoming a relevant global strategy to reduce excess atmospheric carbon dioxide. Shortcuts, misconceptions, and over-excitement have the potential to slow down huge soil carbon potential, ”Salas said in a statement. “But the merger of FluroSat and Dagan will give the industry the trust and integrity it needs with the best soil health data that can prescribe the sitespecific strategies and provide precision and transparency that will help companies succeed in carbon markets. “

Terms of the merger were not disclosed, but FluroSat had previously raised around $ 8.6 million in equity and grants led by Microsoft’s M12 venture capital fund, according to data from Crunchbase.

“Over the next decade, we must grow and produce enough food to feed 10 billion people the world in a way that protects our lands and slows down climate change, ”says Ranveer Chandra, Chief Scientist, Azure Global at Microsoft. “Regrow’s computational agriculture, using machine learning and scientific modeling, will help improve the accuracy of soil carbon accounting and bring farmers closer to benefiting from carbon markets. “

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