| Issue |
E3S Web Conf.
Volume 386, 2023
Annual International Scientific Conferences: GIS in Central Asia – GISCA 2022 and Geoinformatics – GI 2022 “Designing the Geospatial Ecosystem”
|
|
|---|---|---|
| Article Number | 01002 | |
| Number of page(s) | 11 | |
| Section | GIS in Agriculture | |
| DOI | https://doi.org/10.1051/e3sconf/202338601002 | |
| Published online | 12 May 2023 | |
Spatial analysis in decision-making on agriculture activities
1 “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 39 Koriy Niyoziy str., 100000, Tashkent, Uzbekistan
2 Department of Digital Development under Tashkent City Government, Tashkent, Uzbekistan
* Corresponding author: zohid3095@gmail.com
Geoinformation technologies (GIS) play an important role in precision agriculture and the organization of smart agriculture. This can impact deeply the analysis of the state of agricultural lands, mainly irrigated lands, and find a positive solution to the problem based on digital data consisting of different thematic layers. In this research, spatial analysis of agro-ecological conditions was carried out in order to establish effective precision agriculture in the Pakhtazor massive of the Mirzachul district of the Jizzakh region. Representing agro-ecological (soil, climate, groundwater, weather) and social (population, settlements, roads for transport) factors that directly affect the efficient production in agriculture through geospatial analysis and thematic maps were developed. In the process of creating thematic maps and analysing the data, spatial analyses such as IDW, Euclidean distance, and Kernel density were performed using ArcGIS software. As a result of spatial analysis, soil quality was assessed with an average value. Groundwater level and mineralization were in normal condition with 2-2.5 meters and 0-3 gr/l respectively. Infrastructure, irrigation-drainage system, and weather are sufficient to carry out effective agricultural activities, especially crop cultivation.
© 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.