首页|University of Cordoba Reports Findings in Machine Learning (Agro-Climatic Inform ation to Enhance the Machine-Learning Classification of Olive Oils from Near-Inf rared Spectra)
University of Cordoba Reports Findings in Machine Learning (Agro-Climatic Inform ation to Enhance the Machine-Learning Classification of Olive Oils from Near-Inf rared Spectra)
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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 newsreporting originating from Cordoba, Spa in, by NewsRx correspondents, research stated, “The integrityof extra virgin ol ive oil (EVOO) quality markers can be compromised owing to deceptive marketing practices, such as misleading geographical origin claims or counterfeit certifica tion labels, i.e., protecteddesignations of origin (PDO). Therefore, it is impe rative to introduce ecofriendly, rapid, and economicalanalytical methods for au thenticating EVOO, such as near-infrared (NIR) spectroscopy.”
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