摘要
由一名新闻记者-机器人和机器学习每日新闻的工作人员新闻编辑-一项关于机器学习的新研究现在可以获得。据《新闻日报》记者从珠海报道，研究表明：“氮磷营养盐过量排放导致近岸海域富营养化，水体中溶解无机氮浓度(DIN)、可溶性活性磷浓度(SRP)、化学需氧量(COD)等富营养化关键指标的光学遥感检索由于缺乏明显的光谱特征，仍然具有挑战性。”这项研究的资金支持包括南方海洋科学与工程广东实验室（珠海）、中央大学基础研究基金、中国中韩联合海洋研究中心。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A new study on Machine Learning is now available. According to news reporting from Zhuhai, People's Republic of China, by NewsRx journalists, research stated, "Excessive discharges of nitrogen and phosphorus n utrients lead to eutrophication in coastal waters. Optical remote sensing retrie val of the key eutrophication indicators, namely dissolved inorganic nitrogen co ncentration (DIN), soluble reactive phosphate concentration (SRP), and chemical oxygen demand (COD), remains challenging due to lack of distinct spectral featur es." Financial supporters for this research include Southern Marine Science and Engin eering Guangdong Laboratory (Zhuhai), Fundamental Research Funds for the Central Universities, China-Korea Joint Ocean Research Center, China.
NETL
NSTL