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Michigan State University researchers found that adding in-season water deficit data to satellite-based crop models improves corn yield predictions at the subfield level. The study used Landsat data and was led by Bruno Basso and Guanyuan Shuai.
Better subfield yield forecasts are a methodological advance with no immediate effect on supply, so the price impact is minimal.
science.nasa.govLandsat Project Science SupportMar 29, 2022After 445 past neutral weather events, CORN moved a median +0.1% over 5 sessions (52% higher; middle half -1.4% to +1.6%), and +0.7% over 20.
Moves of each commodity's benchmark from the last close before the event. Historical reads pool past events of the same kind; they describe what happened, not what will. Not investment advice.
