期刊
DATA IN BRIEF
卷 51, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.dib.2023.109767
关键词
Near-infrared spectroscopy; Transmittance; Food quality control; Milk; Real -time prediction; Multivariate calibration; Calibration monitoring; 1 @KUL _ LT
Monitoring milk composition is crucial for identifying the health status of cows and ensuring the quality of dairy products. Traditional methods using chemical or laboratory analyses are expensive and time-consuming, while modern technology using nondestructive near-infrared spectroscopy allows for real-time monitoring on farms.
Monitoring of milk composition can support several dimensions of dairy management such as identification of the health status of individual dairy cows and the safeguarding of dairy quality. The quantification of milk composition has been traditionally executed employing destructive chemical or laboratory Fourier-transform infrared (FTIR) spectroscopy analyses which can incur high costs and prolonged waiting times for continuous monitoring. Therefore, modern technology for milk composition quantification relies on nondestructive near-infrared (NIR) spectroscopy which is not invasive and can be performed on-farm, in real-time. The current dataset contains NIR spectral measurements in transmittance mode in the wavelength range from 960 nm to 1690 nm of 1224 individual raw milk samples, collected on-farm over an eight-week span in 2017, at the experimental dairy farm of the province of Antwerp, 'Hooibeekhoeve' (Geel, Belgium). For these spectral measurements, laboratory reference values corresponding to the three main components of raw milk (fat, protein and lactose), urea and somatic cell count (SCC) are included.
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