首页|Reports Summarize Machine Learning Study Results from Mississippi State Universi ty (Non-destructive Assessment of Microbial Spoilage of Broiler Breast Meat Usin g Structured Illumination Reflectance Imaging With Machine Learning)
Reports Summarize Machine Learning Study Results from Mississippi State Universi ty (Non-destructive Assessment of Microbial Spoilage of Broiler Breast Meat Usin g Structured Illumination Reflectance Imaging With Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating in Mississippi State, Mississippi, by NewsRx journalists, research stated, “Meatquality has ga ined ample attention owing to increased consumer awareness and competition among poultryprocessors to deliver premium quality products. Nevertheless, chicken b reast meat is susceptible tomicrobial spoilage resulting in economic and produc t losses.”
Mississippi StateMississippiUnited S tatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learni ngMississippi State University
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