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Updated: May 23, 2025

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机器学习的应用,以优化生物标志物组合和指导有关肉类认证真实性的决定

Lucille Rey-Cadilhac1, Sophie Prache2

  • 1Université Clermont Auvergne, INRAE, VetAgro Sup, UMR12133 Herbivores, 63122 St-Genès-Champanelle, France; PEGASE, INRAE, Institut Agro, 35590 Saint-Gilles, France.

Meat science
|May 21, 2025
PubMed
概括

机器学习,包括决策树 (DTs) 和随机森林模型 (RFs),有效地验证羊肉生产系统. 关键的生物标志物,如周围脏脂肪和胡卜素含量,可以准确地区分牧场完成的羊羔和养的羊羔.

关键词:
测色仪的颜色测量方法决策树 决策树是一个决策树.羊羔 羊羔 羊羔 的 羊羔牧场养 牧场养 牧场养随机的森林随机的森林斯卡托尔 (Skatole) 是一个小碗.

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