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-机器学习的新研究是一篇报道的主题。据新闻报道NEWSRX通讯员发源于埃塞俄比亚贡达尔,研究称,“通过监测蒸散量”(ET),土壤、植物和大气之间的水和能量交换可以被控制。每日、每月、每季对ET的常规估计可以提供相关信息关于小规模农业实践,如埃塞俄比亚的The Ribb流域。
Abstract
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 newsoriginating from Gondar, Ethiopia, by N ewsRx correspondents, research stated, “By monitoring evapotranspiration(ET), t he exchange of water and energy between the soil, plants, and the atmosphere can becontrolled. Routine estimations of ET on a daily, monthly, and seasonal basi s can give relevant informationon small-scale agricultural practices, such as t he Ribb watershed in Ethiopia.”