摘要
由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx记者从中国长沙发来的消息，研究表明：“锰(Mn)是植物和人体的一种基本元素，然而，传统的土壤锰监测方法成本高且效率低。因此，有必要建立一个能够准确预测大面积土壤锰含量的环境研究模型。”本研究经费来自中南大学高性能计算中心。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Changsha, People’s Republic o f China, by NewsRx correspondents, research stated, “Manganese (Mn) is an essent ial element in both plants and the human body; however, traditional methods for monitoring Mn in soil are costly and inefficient. As such, it is necessary to es tablish a model for environmental research uses that can accurately predict soil Mn content over large areas.” Financial support for this research came from High Performance Computing Center of Central South University.
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