首页|Reports from Chinese Academy of Sciences Advance Knowledge in Machine Learning ( Monitoring Salinity in Inner Mongolian Lakes Based on Sentinel-2 Images and Mach ine Learning)
Reports from Chinese Academy of Sciences Advance Knowledge in Machine Learning ( Monitoring Salinity in Inner Mongolian Lakes Based on Sentinel-2 Images and Mach ine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available.According to news originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Salinity is an essential parameter for evaluating water quality and plays a crucial role in maintaining t he stability of lake ecosystems, particularly in arid and semi-arid climates.Sa linity responds to changes in climate and human activity, with significant impac ts on water quality and ecosystem services.”Funders for this research include National Natural Science Foundation of China.
Chinese Academy of SciencesNanjingPe ople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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