IMPROVEMENT AND OPTIMIZATION OF THE NATIONAL GEOPORTAL USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES (USING THE EXAMPLE OF UZBEKISTAN)
DOI:
https://doi.org/10.47390/nat-i1v2y2026/n04Keywords:
National geoportal, artificial intelligence, geoinformatics, GIS, machine learning, deep learning, spatial analysis, land cadastre, territorial planning.Abstract
This scientific article provides a deep scientific analysis of the issues of improving and optimizing national geoportal systems based on artificial intelligence technologies in the conditions of Uzbekistan. The main goal of the study is to increase the efficiency of the national geoportal by automating the processes of collecting, storing, processing, analyzing, forecasting and visualizing geospatial data. The results obtained showed that artificial intelligence-based approaches significantly increase the speed of processing geoinformation data, increase the accuracy of spatial object detection to 85–90 percent, and reduce errors related to the human factor in data update processes. The results of the study serve to develop scientifically based practical recommendations for the development of national geoportals.
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2026 Jahongir Yo'ldoshev (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.