首页|Researchers from Chinese Academy of Sciences Report Details of New Studies and F indings in the Area of Machine Learning (Machine Learning-based Investigation of Forest Evapotranspiration, Net Ecosystem Productivity, Water Use Efficiency and ...)
Researchers from Chinese Academy of Sciences Report Details of New Studies and F indings in the Area of Machine Learning (Machine Learning-based Investigation of Forest Evapotranspiration, Net Ecosystem Productivity, Water Use Efficiency and ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news originating from Urumqi, People’s Republic of China , by NewsRx correspondents, research stated, “Evapotranspiration (ET), net ecosy stem productivity (NEP), and ecosystem water use efficiency (EWUE) of forests ar e changing due to climate change. Traditional models using coarse-scale climate reanalysis data fail to capture local meteorological and hydrological conditions accurately.” Funders for this research include Tianshan Talent Cultivation, Key Projects of t he Natural Science Foundation of Xinjiang Autonomous Region, National Natural Sc ience Foundation of China (NSFC), Chinese Academy of Sciences, High-End Foreign Experts project of China.
UrumqiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences
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