首页|Findings on Machine Learning Reported by Investigators at Biotechnology Research Center (Classification of Algerian Olive Oils: Physicochemical Properties, Polyphenols and Fatty Acid Composition Combined With Machine Learning Models)
Findings on Machine Learning Reported by Investigators at Biotechnology Research Center (Classification of Algerian Olive Oils: Physicochemical Properties, Polyphenols and Fatty Acid Composition Combined With Machine Learning Models)
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 DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Constantine, Algeria, by NewsRx correspondents, research stated, “Theregulation of olive cultivar and geographical origin is a requirement for the global extra virgin olive oilmarket, due to its significant impact on consumer choice. Our work involves obtaining a promising markerparameter for cultivar and geographical origin that can be used to verify declared labels.”Funders for this research include CRAPC (Centre de Recherche Scientifique et Technique en AnalysesPhysico-Chimiques), Tipaza, DGRSDT (Direction Generale de la Recherche Scientifique et du DeveloppementTechnologique, Algeria).
ConstantineAlgeriaCyborgsEmerging TechnologiesMachine LearningBiotechnology Research Center
NETL
NSTL
