Construction of a method for predicting the number of enterobacteria in milk using artifical neural networks

Berhilevych, Oleksandra; Касянчук, В. В.; Chernetskyi, I. V.; Konieva, Anastasia; Dimitrijevich, Lubov; Маренкова, Т. В.

doi:10.15587/1729-4061.2019.160021

EEJET

2019

DOI: 10.15587/1729-4061.2019.160021

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Construction of a method for predicting the number of enterobacteria in milk using artifical neural networks

Oleksandra Berhilevych

В. В. Касянчук

I. V. Chernetskyi

et al.

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2024

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Comparative analysis of raw milk samples in Amasya region

İpek

2024

int. j. agric. environ. food sci.

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Milk is a complete and incredibly nutritious food supply for humans. Millions of tons of raw milk have been processed by the dairy industry to meet huge public demand. Therefore, there are studies needed related to the classification of raw milks in the supply chain. The aim of this study is to evaluate the quality of raw milk samples in Amasya region. Firstly, raw cow's milk is classified according to its protein and fat values. In the first period, the mean fat value of raw milk collected from three lines was found to be 3.86, 3.89, and 3.87 as (%) the percent value, respectively, while the mean protein value of raw milk collected from three lines was found to be 3.29, 3.28, and 3.25 as (%) the percent value, respectively. In the second period, the mean fat value of raw milk collected from three lines was found to be 3.93, 3.99, and 4.03 as (%) the percent value, respectively, while the mean protein value of raw milk collected from three lines was found to be 3.34, 3.35, and 3.34 as (%) the percent value, respectively. The findings indicated that during both periods, the daily raw milk collected from three lines is class A, where protein value (%) is 3.1 and above while fat value (%) is 3.5 and above. Since the quality of raw milk is important not only for milk consumers but also for the quality of the corresponding dairy products, the quality of raw milk must be controlled correctly. Consumer requirements for high-quality milk and dairy are of importance on dairy products.

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Comparative analysis of raw milk samples in Amasya region

İpek

2024

int. j. agric. environ. food sci.

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Construction of a method for predicting the number of enterobacteria in milk using artifical neural networks

Cited by 1 publication

References 28 publications

Comparative analysis of raw milk samples in Amasya region

Comparative analysis of raw milk samples in Amasya region

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