Database for precision farming at the Kuraginskoye agricultural experimental production facility
Автор: Erunova Marina Gennadievna, Simakina Anna Sergeevna, Yakubailik Oleg Eduardovich
Журнал: Вестник Красноярского государственного аграрного университета @vestnik-kgau
Рубрика: Агрономия
Статья в выпуске: 1, 2022 года.
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The purpose of the study is to create a database for precision farming using the example of the Kuraginskoye experimental production facility (EPF) and to analyze the seasonal growing season for the period 2019-2020 based on remote sensing data Planet Scope. The object of the study is the territory of the Kuraginskoye experimental production facility of the Kuraginsky District of the Krasnoyarsk Region. Ground data and remote sensing data were taken as the initial information; the study also used soil-agrochemical surveys, information on growing crops and the obtained yield for 2019-2020. Remote sensing data are represented by Planet Scope satellite data with a high spatial resolution of 3 m. All original tabular, graphical and cartographic information of the Kuraginskoye production facility was systematized, organized, and also converted into a geospatial database using QGIS software. The database of Kuraginskoe production facility contains digital thematic maps of fields, soil cover, agrochemical cartograms for mobile phosphorus, potassium, humus and soil acidity. Thematic maps of vegetation indices NDVI, VARI, CI Green were obtained for each field for 2019-2020. The analysis of the seasonal dynamics of the vegetation of the obtained indices is carried out, for each field and crops the differences in spectral characteristics are determined. A system for collecting, storing and processing data on agricultural objects has been developed, presented in the form of a geospatial database. This approach provides access to the generated database through web services, promotes the introduction of precision farming technologies among a wide range of users, and provides various opportunities for specialists to work together.
Precision farming, database, thematic maps, vegetation indices, planet scope
Короткий адрес: https://sciup.org/140293553
IDR: 140293553