首页|Ghent University Reports Findings in Machine Learning (Rapid andnon-destructive microbial quality prediction of fresh pork stored under modified atmospheres by using selected-ion flow-tube mass spectrometry and machine learning)
Ghent University Reports Findings in Machine Learning (Rapid andnon-destructive microbial quality prediction of fresh pork stored under modified atmospheres by using selected-ion flow-tube mass spectrometry and machine learning)
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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 Ghent, Belgium, by New sRx correspondents, research stated, “Volatile organic compounds(VOCs) indicati ve of pork microbial spoilage can be quantified rapidly at trace levels using se lected-ionflow-tube mass spectrometry (SIFT-MS). Packaging atmosphere is one of the factors influencing VOCproduction patterns during storage.”
GhentBelgiumEuropeCyborgsEmergin g TechnologiesMachine Learning
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