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A study published in Agricultural and Forest Meteorology shows machine-learning models can forecast Australia's national wheat yield about two months before harvest. The models combine climate and satellite data.
The research was funded by the US National Science Foundation.
Earlier and more accurate Australian crop forecasts could improve pricing for wheat buyers, but the study does not change current supply and is unlikely to move prices.
new.nsf.govMay 15, 2019After 406 past neutral report events, Wheat (SRW) moved a median -0.2% over 5 sessions (47% higher; middle half -1.6% to +1.5%), and +0.0% 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.
