GIS-based support for precision farming on the example of the Tyumen region

DOI: 10.35595/2414-9179-2021-4-27-66-81

View or download the article (Rus)

About the Authors

Ilya V. Bryzhko

Perm State University, Faculty of Geography,
Bukireva, 15, 614068, Perm, Russia;
E-mail: zemproekt@yandex.ru

Tatyana V. Shabalina

Perm State University, Faculty of Geography,
Bukireva, 15, 614068, Perm, Russia;
E-mail: tanek51@mail.ru

Abstract

Precision farming technologies are used all over the world and are promising for the territory of Russia. The need for their implementation is determined by the need to increase agricultural production and improve food security. Precision farming can significantly improve the quality and quantity of products, while maintaining the quality of the soil and its potential.

This article discusses the implementation of precision farming technologies at an agricultural enterprise using the results of soil surveys, Earth remote sensing materials and soil scanning, using the equipment of the company “Veris”.

In the course of the work and the implementation of precision farming technologies, an inventory of lands was made, layers and attributes were created, maps of the enterprise’s lands were updated, soil scanning tools were investigated, various maps were built and posted on the special web service, and recommendations were given to improve soil fertility. When performing the work, open source software products were used, such as QGIS, SAGA, OneSoil web service.

The result of the study showed that the inventory of agricultural land allows you to quickly identify areas with inappropriate use, automatically update data on changes in agricultural land areas, store spatial information on crop rotation, allowing you to keep records of agricultural land. Building a web map allowed farmers to actively use web mapping tools to analyze crops, highlighting relationships between soil indicators and productivity zones in the field. Based on the results of soil scanning, vegetation index and soil sampling, it is possible to obtain recommendations for improving soil fertility and productivity.

The introduction of these technologies at an agricultural enterprise makes it possible to effectively use all precision farming tools and analyze spatial information. As a result of the work, the prospects were identified and the practical use of this direction at the enterprise was checked.

Keywords

GIS mapping, precision farming, web-cartography, agriculture, OneSoil service, remote sensing data, soil scan

References

  1. Baich D. Geoinformation systems and precision farming: concept, theory and practice. Geopolitics and ecogeodynamics of regions, 2019. V. 5 (15). No. 3. P. 51–64 (in Russian).
  2. Bikbulatova G.G. Precision farming technology. Omsk Scientific Bulletin, 2008. No. 2 (71). P. 45–49 (in Russian)
  3. Bryzhko V.G., Bryzhko I.V. Improving the social infrastructure of rural areas based on rational land use. Moscow: Limited Liability Company “Expert and Consulting Center ‘Professor’ ”, 2019. 200 p. (in Russian).
  4. Bryzhko I.V., Shabalina T.V. Mapping fields for land management and precision farming. Agrotechnologies of the XXI century: development strategy, technologies and innovations: materials of the All-Russian scientific and practical conference dedicated to the 90th anniversary of the university foundation, Perm, October 20, 2020. Perm, 2020. P. 382–384 (in Russian).
  5. Galeev E.I. The role of cartography for precision agriculture. Bulletin of the Bashkir State Agrarian University, 2019. No. 2 (50). P. 21–26. DOI: 10.31563/1684-7628-2019-50-2-21-26 (in Russian).
  6. Ishbulatov M.G. Creation of electronic maps for precision farming. Russian electronic scientific journal, 2018. No. 4 (30). P. 206–216. DOI: 10.31563/2308-9644-2018-30-4-206-216 (in Russian).
  7. Mulla D., Khosla R. Historical Evolutionfns Recent Advances in Precision Farming. Canadian Agriculture Library, September 2017.
  8. Rulev A.S. Geoinformation technologies in providing precision farming. Bulletin of the Nizhnevolzhsky agro-university complex, 2018. No. 4 (52). P. 115–122. DOI: 10.32786/2071-9485-2018-04-15 (in Russian).
  9. Runov B.A. The latest technology (precision farming) is the basis for the development of profitable agriculture. Agricultural Economics of Russia, 2010. No. 2. P. 25–34 (in Russian).
  10. Yakushev V.P. Digital technologies of precision farming in the implementation of the “smart agriculture” priority in Russia. Bulletin of Russian agricultural science, 2019. No. 2. P. 11–15. DOI: 10.30850/vrsn/2019/2/11-15 (in Russian).
  11. Yakushev V.P., Yakushev V.V., Matveenko D.A. The role and objectives of precision farming in the implementation of the national technological initiative, Agrophysics. 2017. No. 1. P. 51–65 (in Russian)

For citation: Bryzhko I.V., Shabalina T.V. GIS-based support for precision farming on the example of the Tyumen region. InterCarto. InterGIS. Moscow: MSU, Faculty of Geography, 2021. V. 27. Part 4. P. 66–81. DOI: 10.35595/2414-9179-2021-4-27-66-81 (in Russian)