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UDC 636.2.03:631.1.017:620.9

Received: May 11, 2026

Revised: May 20, 2026

Published: May 29, 2026

This is an Open Access article under the CC BY-NC-ND 4.0 license

 

Monitoring of production and organizational indicators of more than 20 medium and large-sized farms was carried out with the determination of the main elements of livestock production technologies that characterize them. It was established that the relationship between the degree of technical support or technological equipment of the production process of obtaining products (quantitative and nomenclature composition of machinery, units, milking equipment), annual productivity of cows and product quality depends on the technology of keeping and organization of the technological process and is subject to the action of relevant influential factors. The results of the research made it possible to state that ensuring energy-efficient production depends not only on the features of the technological content, but also on how clearly the algorithm for working with influential factors operates in accordance with its conditions. Influential factors are systematized and combined into functional blocks. To assess the strength of their influence, the factor analysis method was used through the specific energy intensity indicator, which allowed taking into account the simultaneous change in both costs (Q) and productive and qualitative features (V – milk energy taking into account fat content). Using the ANFIS system, the correlation of influential factors on the energy efficiency of livestock production technology was substantiated.

Factor analysis of changes in the energy efficiency coefficient (µ) allowed us to assess and compare various factors of influence by their importance in the conditions of production technologies with increasing productivity (7000–9000 kg/head). The overall increase in efficiency by 0.57 pp (from 6.29 to 6.86) was achieved due to the fact that the growth rate of useful energy output of products (V) outpaced the growth rate of total energy consumption (Q). The results of factor analysis are similar in trend for different levels of milk fat (3.8%–4.2%). An increase in fat content adds to µ +0.25.

Total energy consumption and product energy allowed us to calculate general indicators – efficiency coefficient, conduct a structure analysis and draw conclusions about the potential influence of factors according to the flowchart under the conditions of each of them in the model. A generalization was made regarding the priority of energy efficiency optimization by influence factors according to the measure, complexity, effect and payback period.

 

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