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”
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Article Number | 01003 | |
Number of page(s) | 8 | |
Section | GIS in Agriculture | |
DOI | https://doi.org/10.1051/e3sconf/202338601003 | |
Published online | 12 May 2023 |
Using GIS technologies to determine the weediness of agricultural crops in the example of the Akmola region
1 “Sadvakasov Agrotechnical Institute” Shokan Ualikhanov University, Abay str., 76, 020000, Kokshetau, Kazakhstan
2 “It Technology, Automation and Mechanization of Agro-industrial Complex” Kazakh National Research Agrarian University, Abay ave., 8, 050000, Almaty, Kazakhstan
3 “The Faculty of Technology” Kazakh University of Technology and Business, Mukhamedkhanov str., 37, 010000, Nur-Sultan, Kazakhstan
* Corresponding author: a.shunekeyeva@kgu.kz
Data from the PlanetScope remote sensing mission were used to determine the infestation of crops in the Akmola region. Data were obtained from 17 districts and two municipal cities. The statistical analysis of objects is shown, and the minimum, maximum, average, and standard deviation of the indicators of the studied sown areas in the Akmola region are revealed. Spring-summer and summer-autumn surveys of weed infestation of agricultural crops showed that despite the implementation of regular agrotechnical and chemical protective measures, the general condition of crops was determined as satisfactory (medium). The study shows that a complete database of information about agricultural, arable, and fallow fields could be easily formed with GIS technologies, and survey data of digitized crops in the Akmola region are available in real time for most users.
© 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.
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