Monitoring agricultural land areas using GIS-online program EOS DA: case study of Andijan region

Abstract

This research aims to look at the use of Earth observing system data analytics (EOS DA), an interactive online system, for agricultural land monitoring in Uzbekistan. With the increasing relevance of digital technology in agriculture, there is a need to investigate innovative approaches for improving land quality monitoring and benchmarking crop conditions and productivity indicators, especially concerning degraded soil processes. The agricultural sector can benefit greatly from the start-up of interactive online digital technologies. Scientific and practical research can be advanced by leveraging existing crop monitoring and forecasting systems and adding components of digital agricultural production systems. Regular crop monitoring adds to higher production and land productivity, both of which are critical in modern agriculture. To reach these goals, modern technologies and the usage of geo-information and remote sensing data must be integrated. The primary goal of this project is to use EOS DA to assist in the continued improvement of agricultural land monitoring in Uzbekistan. The study intends to provide significant insights and recommendations for optimizing agricultural practices and maximizing land productivity by utilizing this interactive online approach. Integrating EOS DA and other geospatial data can result in more informed decision-making and better resource management in the agricultural industry. Finally, using EOS DA, this work aims to contribute to the continual improvement of agricultural land monitoring in Uzbekistan. The study intends to improve agricultural practices and promote sustainable land management in the country by leveraging the potential of interactive online tools and incorporating geospatial information.