Geospatial database for digitalization of agriculture of the Krasnoyarsk territory : доклад, тезисы доклада


Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific Conference "AGRITECH 2019: Agribusiness, Environmental Engineering and Biotechnologies" - Information Technologies, Automation Engineering and Digitization of Agriculture; Krasnoyarsk; Krasnoyarsk

Год издания: 2019

Аннотация: The experience of implementation of GIS and web technologies for regional agriculture of the Krasnoyarsk territory is considered. The experimental agricultural enterprise "Minino", located near the city of Krasnoyarsk, was chosen as a pilot project. For this agricultural enterprise, the comprehensive digital model using geographic Показать полностьюinformation systems, remote sensing and web mapping data processing techniques and software is created. A geospatial database, which contains relevant and archival information about agricultural fields, varieties, crops, soil, particle size distribution, soil-forming rocks, terrain features, has been developed. A series of technological digital maps and cartograms have been created in which information on crop rotations and cultivated crops is concentrated. Archives of available multispectral satellite data of high spatial resolution on the considered territory are analyzed. As a result, a multi-layer electronic map of the agricultural enterprise was created, which contains all available information and can be used for modeling and forecasting crop yields, agricultural planning. The developed methods and software and technological solutions can become a methodological basis for a new generation of information and analytical systems and technologies to support management decisions in the agricultural sector.

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Журнал: IOP Conference Series: Earth and Environmental Science

Выпуск журнала: 315, 3

Номера страниц: 032022

Издатель: Institute of Physics Publishing


  • Erunova M.G. (Siberian Federal University)
  • Yakubailik O.E. (Institute of Computational Modelling,SB RAS)
  • Shpedt A.A. (Siberian Federal University)
  • Trubnikov Y.N. (Krasnoyarsk Research Institute of Agriculture,Federal Research Center,Krasnoyarsk Science Center,SB RAS)

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