摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在可以获得。根据NewsRx编辑在中国北京的新闻报道，研究表明，“干旱给世界许多地区造成了巨大的经济损失，突出表明需要更准确地量化干旱对生产和水管理的影响。遥感技术和基于机器学习的模型为及时和准确的区域干旱监测提供了有希望的解决方案。但这种方法的准确性受到概念设计和支持这种方法的算法的限制。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Droughts cause significant economic losses in many regions around the world, highlighting a need to more accurately quantify implications of drought on production and water management. Remote sensing technologies and machine learning-based models offer promising solutions for timely and accurate regional drought monitoring, but the accuracy of such approaches is constrained by both the conceptual design and algorithms underpinning such approaches.”
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