Issue |
E3S Web Conf.
Volume 563, 2024
International Conference on Environmental Science, Technology and Engineering (ICESTE 2024)
|
|
---|---|---|
Article Number | 03083 | |
Number of page(s) | 4 | |
Section | Green Environment | |
DOI | https://doi.org/10.1051/e3sconf/202456303083 | |
Published online | 30 August 2024 |
Study on agrochemical information and analytical systems in irrigated agriculture
1 Karakalpak Institute of Agriculture and Agrotechnology, Nukus, Republic of Karakalpakstan
2 National University of Uzbekistan named after Mirzo Ulugbek, Tashkent, Uzbekistan
3 Tashkent State Agrarian University, Tashkent, Uzbekistan
* Corresponding author: dauletmuratov@yandex.ru
This paper presents findings on the creation of digital agrochemical maps for irrigated meadow-alluvial soils in Uzbekistan through the application of contemporary GIS technologies. Additionally, it explores the utilization of these maps to establish optimal fertilizer application rates and timings for various agricultural crops. The research aims to leverage Geographic Information System (GIS) technologies to develop digital agrochemical cartograms specifically for irrigated meadow-alluvial soils in Uzbekistan. These cartograms serve as digital representations of the agrochemical characteristics of the soils in the region. The adoption of GIS facilitates a comprehensive and spatially explicit understanding of soil attributes, enabling a more precise and informed approach to agricultural management. The primary objective is to determine optimal rates and timings for fertilizer application tailored to the distinct characteristics of irrigated meadow-alluvial soils. By integrating soil information into the GIS framework, the study seeks to establish a connection between spatial variability in soil properties and the corresponding agricultural practices. This approach allows for the development of targeted fertilization strategies based on the unique attributes of each soil type.
© The Authors, published by EDP Sciences, 2024
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.