Abstract:Food safety has been a worldwide concern, and raw materials’ adulteration is oneof the significant factors contributing to this problem. Camel milk has high nutri-tional and economic value but faces adulteration problems. With time-consuming,poor stability, and low accuracy, the existing adulteration identification frame-works are limited applications. This paper proposes an efficient dairy adulterationidentification framework (EnDairy) based on an ensemble learning algorithmto solve these problems. Specifical… Show more
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