METHODS ANALYSIS FOR ECONOMIC EFFICIENCY ESTIMATING OF DIGITAL TECHNOLOGY IN DAIRY CATTLE

DOI 10.32651/238-55

Issue № 8, 2023, article № 9, pages 55-63

Section: DIGITALIZATION IN THE AGRO-INDUSTRIAL COMPLEX

Language: Russian

Original language title: АНАЛИЗ МЕТОДОВ ОЦЕНКИ ЭКОНОМИЧЕСКОЙ ЭФФЕКТИВНОСТИ ЦИФРОВЫХ ТЕХНОЛОГИЙ В МОЛОЧНОМ СКОТОВОДСТВЕ

Keywords: DAIRY FARMING DIGITALIZATION, DIGITAL EFFICIENCY ASSESSMENT, PRODUCTION AND ECONOMIC MODELS, GRAPH OF ANIMAL STATES, PROBABILISTIC-STATISTICAL MODELS

Abstract: The problems of production efficiency increasing during the introduction of high-performance industrial conveyor-type technologies on large dairy complexes are analyzed. Structured factors constraining the development and implementation of digital technologies in dairy cattle breeding: the difficulties of reliable assessment of economic efficiency, complexity, high cost, variability of technical requirements, investment and current costs of implementation at specific livestock facilities; complex, prolonged nature of the impact on the production and economic results in the industry. Traditional methods of economic efficiency calculating for early diseases diagnosis on the basis of production and economic models solve only individual problems, allow to estimate the economic effect of the introduction of digital technologies in the first approximation, as they include a limited number of variable parameters of the production process and herd reproduction, considering the effects and efficiency mainly through integral indicators. A method for evaluating digital video monitoring systems efficiency based on probabilistic-statistical models built using the graph of animal states and including a set of parameters: statistical estimates of the diseases considered, differentiated by physiological groups of animals; the proportion of detection and value of productivity losses and reproductive parameters at early and late stages of diseases; cost of "transition" animals from "health" to " disease" was proposed and tested on data from farms in the Leningrad Region. The developed method allows to take into account the absolute and relative changes in the complex of detailed parameters of production "before/after the project" due to the set of isolated states of animals and probabilities of events in the production cycle when calculating the efficiency. Probabilistic-statistical models improve the quality of solutions and inverse problems of analysis of the processes under study, providing an increase in the efficiency of justification requirements for technical parameters, the marginal value of investment and operating costs at the pre-project stages of the development of individual digital solutions and their systems.

Authors: Surovtsev Vladimir Nikolaevich, Nikulina IUliia Nikolaevna, Zaitseva Aleksandra Alekseevna