Agrograph is a global provider of satellite-derived, AI-powered agricultural production and hazard insights.
“Accuracy varies based on geography, crop type, and desired insight. In general, corn and soybean predictions are the most accurate due to the large volume of available ground truth data. We provide use-case specific accuracy rates in discovery calls.”
“Agrograph provides field-level agricultural intelligence for more than 800 million hectares of crops, representing about 50 percent of the world’s total cropland and all major agricultural regions.”
“Our analytical framework is applicable across a broad range of crops — including corn, soybeans, wheat, cotton, and other major row crops — and geographies spanning both developed and emerging agricultural markets. Schedule a discovery call to confirm availability of yield estimates for the crop and geography you’re interested in.”
“Our historical crop yield, satellite imagery, and climate data archives extend back to 2000.”
“We source satellite imagery from publicly available Landsat, Sentinel, and MODIS archives. When our clients need higher resolution images, we can also access imagery from commercial satellite operators, such as our partner Planet Labs.”
“Agrograph uses blended precipitation data (satellite observations and gauge measurements) from third-party vendors.”
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