Gro’s custom Crop Covers use geospatial data to identify where a crop is grown. This creates the ability to isolate areas where a specific crop is located when assessing the impact from various environmental data. Gro’s custom Crop Covers are developed at a 30-meter resolution and include both low- and high-confidence masks.
Customers Use the Model to
Why It Matters
Crop Covers are important inputs to yield forecast, pest, and disease models. They allow Gro users to see which crops are impacted by weather or pestilence events and to quantify risk from sourcing regions. Crop Covers can also be adapted to track changes in planted areas over time, which is critical for long-term planning.
US Produce Price Volatility to Continue in 2022, Gro Expects