首页|Studies from Auburn University Update Current Data on Machine Learning (Rapid De tection of Poultry Meat Quality Using S-band To Ku-band Radio-frequency Waves Co mbined With Machine Learning-a Proof of Concept)
Studies from Auburn University Update Current Data on Machine Learning (Rapid De tection of Poultry Meat Quality Using S-band To Ku-band Radio-frequency Waves Co mbined With Machine Learning-a Proof of Concept)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromAuburn, Alabama, by NewsRx journalis ts, research stated, “Rapid changes in consumer preferences forhigh-quality ani mal-based protein have driven the poultry industry to identify non-invasive, in- line processingtechnologies for rapid detection of muscle meat quality defects. At production plants, technologieslike radio-frequency waves (RF waves) can id entify and separate myopathy-conditioned meat, reducingmisclassification errors due to human fatigue and inexperience.”
AuburnAlabamaUnited StatesNorth an d Central AmericaCyborgsEmerging TechnologiesMachine LearningTechnologyAuburn University
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