| Issue |
E3S Web of Conf.
Volume 401, 2023
V International Scientific Conference “Construction Mechanics, Hydraulics and Water Resources Engineering” (CONMECHYDRO - 2023)
|
|
|---|---|---|
| Article Number | 02005 | |
| Number of page(s) | 8 | |
| Section | Ecology, Hydropower Engineering and Modeling of Physical Processes | |
| DOI | https://doi.org/10.1051/e3sconf/202340102005 | |
| Published online | 11 July 2023 | |
Monitoring agricultural land areas using GIS-online program EOS DA: case study of Andijan region
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, Uzbekistan
* Corresponding author: rustam.oymatov@gmail.com
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.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.