首页|Findings from Shaanxi Normal University Provides New Data about Machine Learning (Correlation Analysis Between Active Components of Cornus Officinalis and Inorg anic Elements In Rhizosphere Soil and Rapid Analysis of Origin Quality By …)
Findings from Shaanxi Normal University Provides New Data about Machine Learning (Correlation Analysis Between Active Components of Cornus Officinalis and Inorg anic Elements In Rhizosphere Soil and Rapid Analysis of Origin Quality By …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting fromShaanxi, People’s Republic of China , by NewsRx journalists, research stated, “Although it is rational tobelieve th at the content of effective components and inorganic elements in Corni Fructus ( CF) varieswith the wide range of planting and the different environments of the bases, the effect of the inorganicelements of rhizosphere soil in different pr oducing areas on them is still unknown yet. In this research, CFand its rhizosp here soil from 29 production areas in seven provinces of China were collected, t he contentof seven active components in CF was determined by High-Performance L iquid Chromatography (HPLC),and the levels of inorganic elements in CF and rhiz osphere soil were measured by Inductively CoupledPlasma Atomic Emission Spectro metry (ICP-AES).”
ShaanxiPeople’s Republic of ChinaAsiaCorrelation AnalysisCyborgsEmerging TechnologiesMachine LearningShaan xi Normal University
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