IDEAS home Printed from https://ideas.repec.org/a/ssi/jouesi/v7y2020i4p3200-3214.html
   My bibliography  Save this article

Sustainable development of crop production with elements of precision agriculture in Northern Kazakhstan

Author

Listed:
  • Altynay B. Abuova

    (Zhangir Khan West-Kazakhstan Agrarian-Technical University, Kazakhstan)

  • Saniya A. Tulkubayeva

    (Agricultural experimental station «Zarechnoye» Limited Liability Company, Kazakhstan)

  • Yuriy V. Tulayev

    (Agricultural experimental station «Zarechnoye» Limited Liability Company, Kazakhstan)

  • Svetlana V. Somova

    (Agricultural experimental station «Zarechnoye» Limited Liability Company, Kazakhstan)

  • Maigul Zhalelovna Kizatova

    (Asfendiyarov Kazakh National Medical University, Kazakhstan)

Abstract

The Agricultural Experimental Station «Zarechnoye» LLP (AES «Zarechnoye» LLP, Kostanay region, Kazakhstan) has always been the initiator of introduction and dissemination of advanced innovative technologies; in this regard, the agriculture has been identified as the basis for the introduction of digitalization elements, i.e. precision agriculture. The use of elements of the precision agriculture system by the AES «Zarechnoye» LLP, the use of modern technology equipped with an automatic driving system, a differential fertilizer application system and plant protection products ensured a guaranteed yield with high technological indicators in an extremely arid year. The obtained yield level of grain crops exceeded the average regional level by 79.7%. An economic model for the introduction of precision agriculture elements for the farm «Agrofirma Karkyn» LLP with medium technical equipment, indicating the costs of applying the developed technologies per 1 ha, was built. The analysis of economic return was carried out as a result of increased productivity with indicating the payback period. The production and economic indicators of the surveyed farm in the Kostanay region, obtained as a result of constructing financial and economic models taking into account the introduction of precision agriculture elements, are presented. Based on the constructed financial and economic models, the calculations showed that the introduction of precision agriculture elements will reduce production costs for wheat growing to 1.6 thousand tenge per 1 ha of cultivated area, or 4% of all production costs. The payback period for simulated improvements in the implementation of precision agriculture elements for the farm, while maintaining the current processing area, will be 4.4 years. The data obtained during the study can be used by agricultural producers to develop measures to increase productivity and reduce the cost of production, as well as by government agencies to improve measures of state support and regulation in the field of agriculture, aimed at digitalization, the introduction of precision agriculture elements and increasing the competitiveness of agricultural production.

Suggested Citation

  • Altynay B. Abuova & Saniya A. Tulkubayeva & Yuriy V. Tulayev & Svetlana V. Somova & Maigul Zhalelovna Kizatova, 2020. "Sustainable development of crop production with elements of precision agriculture in Northern Kazakhstan," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(4), pages 3200-3214, June.
  • Handle: RePEc:ssi:jouesi:v:7:y:2020:i:4:p:3200-3214
    DOI: 10.9770/jesi.2020.7.4(41)
    as

    Download full text from publisher

    File URL: https://jssidoi.org/jesi/uploads/articles/28/Abuova_Sustainable_development_of_crop_production_with_elements_of_precision_agriculture_in_Northern_Kazakhstan.pdf
    Download Restriction: no

    File URL: https://jssidoi.org/jesi/article/580
    Download Restriction: no

    File URL: https://libkey.io/10.9770/jesi.2020.7.4(41)?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    precision agriculture; crop management; IT-technologies; information systems; electronic field map; agrochemical field inspection; efficiency; comparative analysis; economic implementation model;
    All these keywords.

    JEL classification:

    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ssi:jouesi:v:7:y:2020:i:4:p:3200-3214. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Manuela Tvaronaviciene (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.