摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑《每日新闻-人工智能新研究》是一篇新报道的主题。据新闻报道NewsRx编辑在南京报道，研究称，“阳离子”粘土部分（<2mm）的exchan ge容量(CEC)，表示为CEC[[clay]]，是一个关键低活性粘粒(LAC)土壤的识别指标和d是土壤分类的重要依据。传统的计算CEC[粘土]的方法，如将全土CEC(CEC[土壤])除以粘粒含量可能因土壤有机质和不同类型引入的偏差而引起C层矿物。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According to newsreporting out of Nanjing, Pe ople’s Republic of China, by NewsRx editors, research stated, “The cationexchan ge capacity (CEC) of the clay fraction (<2 mm), denoted as CEC [ [clay] ] , serves as a crucialindicator for identifying low-activity clay (LAC) soils an d is an essential criterion in soil classification.Traditional methods of estim ating CEC [ [clay] ] , such as dividing the whole-soil CEC (CEC [ [soil] ] ) bythe clay content, can be prob lematic due to biases introduced by soil organic matter and different typesof c lay minerals.”
NETL
NSTL