Near-infrared spectroscopic sensing system for on-line milk quality assessment in a milking robot

Near-infrared spectroscopic sensing system for on-line milk quality assessment in a milking robot
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DOI:
10.1016/j.compag.2008.01.006
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发表时间:
2008-08
影响因子:
8.3
通讯作者:
Masataka Kawasaki;S. Kawamura;M. Tsukahara;S. Morita;M. Komiya;M. Natsuga
Masataka Kawasaki;S. Kawamura;M. Tsukahara;S. Morita;M. Komiya;M. Natsuga
中科院分区:
农林科学1区
文献类型:
--
作者:
Masataka Kawasaki;S. Kawamura;M. Tsukahara;S. Morita;M. Komiya;M. Natsuga

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在实验基础上构建了近红外光谱传感系统。该系统能够在自动挤奶系统(挤奶机器人系统)中获得600-1050nm波长范围内的原料奶近红外光谱。建立了三种主要乳成分(脂肪、蛋白质和乳糖)、体细胞计数(SCC)和乳尿素氮(MUN)的标定模型,并对模型的精密度和准确性进行了验证。脂肪验证集的决定系数(r2)和预测标准误差(SEP)分别为0.95和0.25%。乳糖的r2和SEP分别为0.83和0.26%,蛋白质的r2和SEP分别为0.72和0.15%,SCC的r2和SEP分别为0.68和0.28logSCC/mL, MUN的SEP分别为0.53和1.50mg/dL。这些结果表明,近红外光谱系统可以用于自动挤奶系统中牛奶质量的实时评估。该系统可以为奶农提供单头奶牛的牛奶质量和生理状况信息,从而为他们优化奶牛场管理提供反馈控制。通过使用该系统,奶农将能够生产出高质量的牛奶,实现奶牛的精准养殖。
A near-infrared (NIR) spectroscopic sensing system was constructed on an experimental basis. This system enabled NIR spectra of raw milk to be obtained in an automatic milking system (milking robot system) over a wavelength range of 600–1050nm. Calibration models for determining three major milk constituents (fat, protein and lactose), somatic cell count (SCC) and milk urea nitrogen (MUN) of unhomogenized milk were developed, and the precision and accuracy of the models were validated. The coefficient of determination (r2) and standard error of prediction (SEP) of the validation set for fat were 0.95 and 0.25%, respectively. The values of r2and SEP for lactose were 0.83 and 0.26%, those for protein were 0.72 and 0.15%, those for SCC were 0.68 and 0.28logSCC/mL, and those for MUN were 0.53 and 1.50mg/dL, respectively. These results indicate that the NIR spectroscopic system can be used to assess milk quality in real-time in an automatic milking system. The system can provide dairy farmers with information on milk quality and physiological condition of an individual cow and, therefore, give them feedback control for optimizing dairy farm management. By using the system, dairy farmers will be able to produce high-quality milk and precision dairy farming will be realized.