首页|New Data from China Agricultural University Illuminate Findings inMachine Learn ing (Near-infrared Spectroscopy-based Chilled Fresh Lamb Quality Detection Using Machine Learning Algorithms)
New Data from China Agricultural University Illuminate Findings inMachine Learn ing (Near-infrared Spectroscopy-based Chilled Fresh Lamb Quality Detection Using Machine Learning Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Machine Learning have been prese nted. According to news reporting originatingfrom Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Traditionallymethods for as sessing mutton quality rely on physical and chemical examination analyses that n ecessitateprecise experimental environment conditions and specialized knowledge , often resulting in the compromiseof the sample’s structural integrity. To add ress these challenges, this study explores the application ofnear-infrared spec troscopy (NIR) as a non-destructive alternative for mutton quality evaluation, l everagingits operational simplicity, rapid analysis capabilities, and minimal r equirement for technical expertise.”Financial support for this research came from Earmarked Fund for CARS-38.
BeijingPeople’s Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesMachine LearningChina Agricultu ral University
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