QGIS

The integration of artificial intelligence algorithms in agriculture has been studied to support efficient and sustainable agricultural production through the use of machine learning technologies, automated data collection, and analysis of large volumes of geospatial data to improve land resource management using geographic information systems. The article analyzes the prospects of applying artificial intelligence (AI) methods in the QGIS geographic information system for spatial analysis of agricultural land use.

Nowadays, GIS Technologies are used in many areas of human life, both in everyday life and scientific research. The purpose of the presented study is to identify the relationship between the scale of topographic maps and the main hydrographic characteristics of the river based on the data of observations in the Siverskyi Donets basin. The study is based on the results of the identification of the hydrographic network, which was performed based on the Open Street Map in the GIS environment of the QGIS program using the method of A. N. Straller and I. N. Hartzman.