首页|Universita Cattolica del Sacro Cuore Reports Findings in Machine Learning (Untar geted metabolomics and machine learning unveil quality and authenticity interact ions in grated Parmigiano Reggiano PDO cheese)
Universita Cattolica del Sacro Cuore Reports Findings in Machine Learning (Untar geted metabolomics and machine learning unveil quality and authenticity interact ions in grated Parmigiano Reggiano PDO cheese)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is the subject of a report. According to news reporting out of Piacenza, Italy, by Ne wsRx editors, research stated, “The chemical composition of Parmigiano Reggiano (PR) hard cheese can be significantly affected by different factors across the d airy supply chain, including ripening, altimetric zone, and rind inclusion level s in grated hard cheeses. The present study proposes an untargeted metabolomics approach combined with machine learning chemometrics to evaluate the combined ef fect of these three critical parameters.”
PiacenzaItalyEuropeCyborgsEmergi ng TechnologiesMachine Learning
NETL
NSTL
