论文标题
基于牛奶中红外光谱的牛饮食分类：在“光谱和化学计量学国际研讨会2022”的数据分析竞争中
Classification of cow diet based on milk mid infrared spectra: a data analysis competition at the "International workshop of spectroscopy and chemometrics 2022"
论文作者
论文摘要
2022年4月，Vistamilk SFI研究中心组织了第二版，即“光谱和化学计量学国际研讨会 - 食品和农业中的应用”。在此事件中，研讨会的参与者之间组织了一个数据挑战。这种数据竞赛旨在开发一种预测模型，以根据中红外地区收集的牛奶光谱信息来区分奶牛饮食。实际上，开发奶牛饮食的准确可靠的判别模型可以为乳制品加工机提供重要的身份验证工具，以保证草食动物的乳制品制造商的产品起源。在研讨会期间，已经采用了不同的统计和机器学习建模方法，涉及不同的预处理步骤和不同程度的复杂性。本文旨在描述参与者为开发这种分类模型所采用的统计方法。
In April 2022, the Vistamilk SFI Research Centre organized the second edition of the "International Workshop on Spectroscopy and Chemometrics - Applications in Food and Agriculture". Within this event, a data challenge was organized among participants of the workshop. Such data competition aimed at developing a prediction model to discriminate dairy cows' diet based on milk spectral information collected in the mid-infrared region. In fact, the development of an accurate and reliable discriminant model for dairy cows' diet can provide important authentication tools for dairy processors to guarantee product origin for dairy food manufacturers from grass-fed animals. Different statistical and machine learning modelling approaches have been employed during the workshop, with different pre-processing steps involved and different degree of complexity. The present paper aims to describe the statistical methods adopted by participants to develop such classification model.
