Scaling Annual Crop Tracking Across the US

Presented by

VP of Marketing Billy Cripe

About this talk

Each year, the USDA National Agricultural Statistics Service publishes the Cropland Data Layer (CDL), which is used to estimate the amount of major commodities grown throughout the U.S. What if this data could be accessed faster and more precisely? That’s where CIBO comes in. CIBO has combined our computer vision and AI capabilities with an innovative machine learning approach to identify cropland cover with greater accuracy, resolution, and up to 5 months sooner than USDA.

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Discover how big data, deep science and breakthrough technology come together to help regenerate the land, capture carbon and create a marketplace that rewards farmers. Topics such as modern, ag-based carbon credits, farmer direct carbon marketplaces, science-based land insights, big data, computer vision, remote sensing, modeling and simulation are all covered. Engage with CIBO at to learn more.