Neurocognitive assessment of the critical intensity of milk educational processes based on cow blood parameters

The paper presents a new information technology based on the use of artificial intelligence in the form of the BloodNN neural network, which converts animal blood counts into dimensionless CSImilk indices, CSIpro = 1...10 points. These indices quantify the critical and current intensity of the processes associated with milk production in cows. The ratio of these indices allows you to plan the feeding regime separately for each cow and respond in a timely manner to changes in their health status and the balance of nutritional and energy resources aimed at milk synthesis and protection from pathogenic infections. As a result of the research, it was revealed that among the eight cows studied, five cows with inventory numbers No. 10929 (3 lactation), 12517 (2 lactation), 10870 (3 lactation), 11277 (3 lactation), 125 (7 lactation) are in the corridor of critical values of the intensity of milk formation processes in the animal body. For these cows, the intensity of feeding can be reduced, which will prolong their productive life. In cows with inventory numbers No. 10825 (3 lactation), 13765 (1 lactation) and 12180 (2 lactation), feeding intensity can be increased, since the intensity of their internal biochemical processes is lower than the critical intensity.

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Publication Details

Journal
Veterinariya Zootekhniya i Biotekhnologiya
Published
2025-01-01
DOI
https://doi.org/10.36871/vet.zoo.bio.202505113
Primary Topic
Food Industry and Aquatic Biology
Type
article
Field-Weighted Citation Impact
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article

Neurocognitive assessment of the critical intensity of milk educational processes based on cow blood parameters

N. I. Vorobyov, Marina V. Selina, Nadezhda V. Bogolyubova
Veterinariya Zootekhniya i Biotekhnologiya
Food Industry and Aquatic Biology
article

Neurocognitive assessment of the critical intensity of milk educational processes based on cow blood parameters

N. I. Vorobyov, Marina V. Selina, Nadezhda V. Bogolyubova
article en

Abstract

The paper presents a new information technology based on the use of artificial intelligence in the form of the BloodNN neural network, which converts animal blood counts into dimensionless CSImilk indices, CSIpro = 1...10 points. These indices quantify the critical and current intensity of the processes associated with milk production in cows. The ratio of these indices allows you to plan the feeding regime separately for each cow and respond in a timely manner to changes in their health status and the balance of nutritional and energy resources aimed at milk synthesis and protection from pathogenic infections. As a result of the research, it was revealed that among the eight cows studied, five cows with inventory numbers No. 10929 (3 lactation), 12517 (2 lactation), 10870 (3 lactation), 11277 (3 lactation), 125 (7 lactation) are in the corridor of critical values of the intensity of milk formation processes in the animal body. For these cows, the intensity of feeding can be reduced, which will prolong their productive life. In cows with inventory numbers No. 10825 (3 lactation), 13765 (1 lactation) and 12180 (2 lactation), feeding intensity can be increased, since the intensity of their internal biochemical processes is lower than the critical intensity.

Veterinariya Zootekhniya i BiotekhnologiyaVol. 5(137)
Openalex Percentile: Top 86%
Food Industry and Aquatic Biology
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