Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseскороОткрытый API экосистемы
Латиница
Русский
Статья

DEVELOPMENT OF INDICATORS FOR FORECASTING THE NUMBER AND COMPOSITION OF LIVESTOCK BASED ON MULTIVARIATE ECONOMETRIC MODELS IN THE DIGITAL ECONOMY

Janibek SaukhanovDepartment of Digital Economy and IT, Karakalpak State University, UzbekistanSabit Nietalievich GabbarovKuvonchbek RakhimberdievDepartment of Information Security, National university of Uzbekistan, UzbekistanDilbar KhojabayevaDepartment of Mathematics, Tashkent State University of Economics, Uzbekistan
2022en
ABI

Аннотация

In this article, the Kungirot region with the largest area in the Republic of Karakalpakstan, the optimal use of the available land and fodder fund for raising livestock in this area, the option of forming its composition, practical and scientific recommendations are given. A comparative analysis of cattle, cows, sheep and goats, horses, camels was evaluated on the basis of a correlation-regression analysis of the efficiency of pasture use by the number of livestock. Using statistical data for 1990-2021, forecasts were developed using the ARIMA model. "The Pasture Livestock Efficiency Program" was created to solve the problem of forming the optimal composition of the livestock based on the available opportunities for using pastures using digital technologies.

Темы

Идентификаторы

Цитирования и источники

Показатели — AkademScholar · Скоро