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Mathematical model for predicting butterfat concetration in bovine milk using electric conductivity properties, temperature and volume fraction of whole milk.

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NIAID Data Ecosystem2026-03-10 收录
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https://data.mendeley.com/datasets/4p7jjd7ccc
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资源简介:
The data shows raw values of % butterfat, electric conductivity (S/m), volume fraction of whole milk, skimmed milk and cream and temperature at which the test were carried out. Also shown is the transformed data of electric conductivity/volume fraction of whole milk. The data was split into training data (N=78) and validation data (N=32). Validation data was used to test and determine the credibility of the mathematical model (equation 14-17) developed for analysis of butterfat. Validation methods used includes Passing & Bablok regression, Deming regression, Bland & Altman, Error index, RSR, NSE e.t.c.
创建时间:
2018-12-15
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