首页|Study Results from Northwest A&F University Provide New Insightsin to Machine Learning (Early-season Estimation of Winter Wheat Yield: a Hybrid Mac hine Learning-enabled Approach)
Study Results from Northwest A&F University Provide New Insightsin to Machine Learning (Early-season Estimation of Winter Wheat Yield: a Hybrid Mac hine Learning-enabled Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Yangling, Peop le’s Republic of China, by NewsRx journalists, research stated,“Accurate crop y ield forecasting can help stakeholders take effective measures in advance to avo idpotential grain supply risks. However, currently, yield forecasts are mostly made close to harvest (e.g. 1-3months before harvest for Chinese winter wheat), which gives stakeholders a relatively short time to react,decide, and interven e.”
YanglingPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningNorthwest A&F University
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