J. Saukhanov, S. Gabbarov, Kuvonchbek Rakhimberdiev, Dilbar Khojabayeva
{"title":"DEVELOPMENT OF INDICATORS FOR FORECASTING THE NUMBER AND COMPOSITION OF LIVESTOCK BASED ON MULTIVARIATE ECONOMETRIC MODELS IN THE DIGITAL ECONOMY","authors":"J. Saukhanov, S. Gabbarov, Kuvonchbek Rakhimberdiev, Dilbar Khojabayeva","doi":"10.1145/3584202.3584283","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3584202.3584283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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.