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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.gov15 may 2019Tras 406 eventos neutral de informe pasados, Trigo (SRW) se movió una mediana de -0,2 % en 5 sesiones (47% al alza; mitad central entre -1,6 % y +1,5 %), y +0,0 % en 20.
Variaciones de la referencia de cada materia prima desde el último cierre antes del evento. Las lecturas históricas agrupan eventos pasados del mismo tipo; describen lo ocurrido, no lo que ocurrirá. No es asesoramiento de inversión.
