Geospatial database for digitalization of agriculture of the Krasnoyarsk territory

International Scientific Conference «AGRITECH-2019: Agribusiness, Environmental Engineering and Biotechnologies»

农业科学;生态环境科学;生物科学

Erunova, M.G.^1^3 ; Shpedt, A.A.^2^3 ; Trubnikov, Y.N.^2 ; Yakubailik, O.E.^1^3^4

Federal Research Center, Krasnoyarsk Science Center, SB RAS, Krasnoyarsk, Russia^1

Krasnoyarsk Research Institute of Agriculture, Federal Research Center, Krasnoyarsk Science Center, SB RAS, Krasnoyarsk, Russia^2

Siberian Federal University, Krasnoyarsk, Russia^3

Institute of Computational Modelling, SB RAS, Krasnoyarsk, Russia^4

关键词: Agricultural enterprise;    Agricultural planning;    Geo-spatial database;    High spatial resolution;    Information and analytical systems;    Modeling and forecasting;    Multispectral satellite data;    Technological solution;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/315/3/032022/pdf
DOI  :  10.1088/1755-1315/315/3/032022

来源: IOP

【 摘 要 】

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 information 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.