ANALYSIS OF FINANCIAL AND ECONOMIC INDICATORS OF AGRICULTURAL DEVELOPMENT USING ARTIFICIAL INTELLIGENCE SYSTEMS

DOI 10.32651/2311-80

Issue № 11, 2023, article № 12, pages 80-86

Section: DIGITALIZATION IN THE AGRO-INDUSTRIAL COMPLEX

Language: Russian

Original language title: АНАЛИЗ ФИНАНСОВО-ЭКОНОМИЧЕСКИХ ПОКАЗАТЕЛЕЙ РАЗВИТИЯ СЕЛЬСКОГО ХОЗЯЙСТВА С ПРИМЕНЕНИЕМ СИСТЕМ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА

Keywords: AGRICULTURE, ARTIFICIAL INTELLIGENCE SYSTEMS, FORECASTING FINANCIAL AND ECONOMIC INDICATORS, RESEARCH REVIEW

Abstract: Forecasting and analysis of financial and economic indicators of agricultural development is a necessary tool for managing the industry. Recently, the use of traditional tools has significant limitations, which necessitates the use of artificial intelligence systems. The purpose of the study is to analyze research in the field of application of artificial intelligence systems in the field of analysis of financial and economic indicators of agricultural development. It has been established that artificial intelligence systems are currently used to predict the development of agriculture at the regional level, analysis of the financial and economic situation of agricultural organizations in order to prevent bankruptcy, forecast prices for agricultural products and raw materials. For this, systems based on fuzzy inference systems (ANFIS), convolutional neural networks, support vector machines and others are used. The main effects of the use of artificial intelligence systems in this area are to increase the accuracy of forecasting the development of the industry, reduce the complexity of financial and economic analysis, and reduce uncertainty and risks. Specific recommendations are given on the use of artificial intelligence systems in the analysis of financial and economic indicators of agricultural development.

Authors: Skvortsov Egor Artemovich, IAlunina Ekaterina Nikolaevna, Gusev Aleksei Sergeevich