Geospatial Database for Digitization of the Agriculture System in the Krasnoyarsk Krai

M. G. Erunova¹, A. A. Shpedt², O. E. Yakubailik^1,3, Yu. N. Trubnikov^2
1Federal Research Center «Krasnoyarsk Scientific Center of the SB of the RAS», Campus, 50, Krasnoyarsk, 660036, Russian Federation
²Krasnoyarsk Agricultural Research Institute, Federal Research Center «Krasnoyarsk Scientific Center of the SB of the RAS», prosp. Svobodnyi, 66, Krasnoyarsk, 660041, Russian Federation
³Institute of Computational Modelling SB RAS, Campus, 50/44, Krasnoyarsk, 660036, Russian Federation

Abstract. Wide technical and technological opportunities for remote monitoring of agricultural land appeared in recent years. At a local level, this can be an important complement and enhancement of opportunities for the implementation of agricultural adaptive landscape systems. The combination of the functions of these systems will enhance the performance of each of them, will allow for better use of the reserves, resulting from the digitization of the agricultural sector, for agricultural land productivity increase and will allow for the reduction of anthropogenic load on agricultural landscapes. The paper considers the methods of formation and subsequent web publishing of digital thematic maps of Minino experimental production farm in the Krasnoyarsk Krai. The source was the data on soil, agrochemical, ecological and toxicological surveys in the area under study, data of remote sensing, digital relief models, cadastral maps and data from other public web mapping services. On the basis of the listed initial geospatial data, we drew a series of thematic maps showing the content of humus, granulometric composition, acidity, provision with phosphates, potassium and trace elements, as well as crop rotations and cultivated crops. The information was collected in a geospatial database. The technological basis for access to this data was geoinformation web-systems. Thematic application-oriented geoportal was created. The developed software allowed representing and analyzing the data using a standard Internet browser and through mapping web services. The methods, software and technological solutions developed based on expert analysis can become a methodological basis for a new generation of analytics platform and technologies to support decision-making in the agricultural sector, and to promote the digitalization of agricultural adaptive landscape systems in the Krasnoyarsk Krai.

Keywords: geoinformation technologies; farming system; digital map; soil; granulometric composition; agrochemical maps; crop rotations; crop yields.

Author Details: M. G. Erunova, Cand. Sc. (Tech.), research fellow (e-mail: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра.); A. A. Shpedt, D. Sc. (Agr.), deputy director (e-mail: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра.); O. E. Yakubailik, Cand. Sc. (Phys.-Math.), head of laboratory, leading research fellow (e-mail: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра.); Yu. N. Trubnikov, D. Sc. (Agr.), chief research fellow (e-mail: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра.).

For citation: Erunova M. G., A Shpedt. A., Yakubailik O. E., Trubnikov Yu. N. Geospatial Database for Digitization of the Agriculture System in the Krasnoyarsk Krai. Dostizheniya nauki i tekhniki APK. 2019. Vol. 33. No. 7. Pp. 56–61 (in Russ.). DOI: 10.24411/0235-2451-2019-10714.