首页|Chinese Academy of Sciences Reports Findings in Machine Learning (Dominant Edaph ic Controls on Particulate Organic Carbon in Global Soils)
Chinese Academy of Sciences Reports Findings in Machine Learning (Dominant Edaph ic Controls on Particulate Organic Carbon in Global Soils)
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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 Jilin, People’s Republ ic of China, by NewsRx correspondents, research stated, “Thecurrent soil carbon paradigm puts particulate organic carbon (POC) as one of the major components o fsoil organic carbon worldwide, highlighting its pivotal role in carbon mitigat ion. In this study, we compileda global dataset of 3418 data points of POC conc entration in soils and applied empirical modeling andmachine learning algorithm s to investigate the spatial variation in POC concentration and its controls.”
JilinPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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