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New sRx记者在澳大利亚贝德福德公园的新闻报道，研究表明，“表面电导(Gs)是Penman-Monteith(PM)方程中的关键因素；环境变量S，如CO2浓度、气温(TA)、蒸汽压亏缺(VPD)、土壤含水量(SWC)和净辐射®之间的相互作用影响Gs。”蒸散量和蒸散量影响水文循环，这些相互作用具有高度非线性，且在不同植被类型之间存在差异。
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 reporting from Bedford Park, Australia, by New sRx journalists, research stated, “Surface conductance (Gs) is a key factor in t he Penman-Monteith (PM) equation; the interaction between environmental variable s such as CO2 concentration, air temperature (TA), vapor pressure deficit (VPD), soil water content (SWC), and net radiation ®affects Gs, evapotranspiration an d thus impacts the hydrological cycle. These interactions are highly nonlinear a nd vary among different vegetation types.”
NETL
NSTL