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Rapid Detection of Somatic Cell Count Based on Hybrid Variable Selection Method

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Rapid Detection of Somatic Cell Count Based on Hybrid Variable Selection Method
Somatic cell count detection is the daily work of dairy farms to monitor the health of cows.The feasibility of applying near-infrared spectroscopy to somatic cell count detection was researched in this paper.Milk samples with different somatic cell counts were collected and preprocessing methods were studied.Variable selection algorithm based on hybrid strategy and modelling method based on ensemble learning were explored for somatic cell count detection.Detection model was used to diagnose subclinical mastitis and the results showed that near-infrared spectroscopy could be a tool to realize rapid detection of somatic cell count in milk.

near-infrared spectroscopysomatic cell countmastitisrapid detection

Shen Weizheng、Cui Xiang、Wang Yan、Nie Debao、Zhang Qinggang、Zheng Wei、Sun Jian、Yang Xin、Dai Baisheng

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College of Electrical and Information,Northeast Agricultural University,Harbin 150030,China

Heilongjiang Animal Husbandry Service,Harbin 150060,China

School of Information Engineering,Shandong Huayu University of Technology,Dezhou 253000,Shandong,China

near-infrared spectroscopy somatic cell count mastitis rapid detection

2024

东北农业大学学报(英文版)
东北农业大学

东北农业大学学报(英文版)

影响因子:0.075
ISSN:1006-8104
年,卷(期):2024.31(3)