UDC 004.8
DOI: 10.36871/2618-9976.2023.02.008
Authors
Leonid S. Zvyagin,
PhD of Economics, Associate Professor, Associate Professor of the Department of «System Analysis
in Economics», Financial University under the Government of the Russian Federation, Moscow, Russia
Abstract
Rapid technological progress and a wide range of applications of artificial intelligence are rapidly becoming the basis for its widespread use, including in solving problems arising in agriculture. In this regard, various methods of solving the existing problems in agriculture have been proposed. However, of these solutions related to artificial intelligence applications, only a part of them were recognized as the most effective and efficient in terms of accuracy and reliability. This was made possible thanks, among other things, to the introduction of robots for agricultural use in everyday agricultural operations. With the help of artificial intelligence technologies, farmers were able to get more crops by determining crop production estimates, choosing the highestyielding varieties of crops themselves, solved the issues of soil management and nutrient products in it, pest control and plant diseases, weed management, forecasting commodity prices in the future and began to provide information in real time about marketing of agricultural products.
Keywords
Artificial intelligence, Agriculture, Business process reengineering, Intelligent measurements, Mathematical modeling
