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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.
在过去 406 次中性的报告事件之后,小麦(SRW) 在 5 个交易日内中位数变动 -0.2%(47% 上涨;中间一半区间为 -1.6% 至 +1.5%),20 个交易日内为 +0.0%。
各商品基准价相对事件前最后收盘价的变动。历史数据汇总同类过往事件;仅描述已发生的情况,不代表未来走势。不构成投资建议。