Authors:
D. B. Zhamalova,
M. B. Tashmukhamedov
Kostanay Engineering and Economics University named after M. Dulatov, Kostanay, Republic of Kazakhstan
Kostanay Regional University named after A. Baitursynov, Kostanay, Republic of Kazakhstan
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract. The purpose of the research is to analyze the quality of sowing operations (flaws, sifting), the completenessof seedlings based on multispectral images. The research was carried out in accordance with the purpose ofimplementing the scientific and technical program “Transfer and adaptation of precision farming technologies inthe production of crop production on the principle of “demonstration farms (landfills)” in Kostanay region” in 2019.Methods. To perform monitoring work, an unmanned aerial vehicle of an airplane type was used; a multispectral(MS) camera equipped with sensors of the main channels. Agrotechnical requirements have been developed takinginto account the data of the electronic map of fields and the specifics of the region. The analysis of the state of cropsusing an information and analytical resource was carried out. Results. A survey of agricultural crops was conductedin order to obtain data on the state of the fields by an unmanned aerial vehicle. Aerial photography was performedwith the Make sense Red-Edge multispectral camera at an altitude of 300 meters. The survey was carried out over19 fields in five spectral ranges: blue, green, red, extreme red, near infrared. Aerial photography data are the initialdata for the construction of orthophotoplanes, digital surface models, 3D-models. After conducting a flyby of theterritory, the general condition of agricultural land was analyzed. Measurements are made on the reference fieldsusing a portable device – an N-tester. The scientific novelty lies in the fact that aerial photography of spring wheat,which is at the stage of 3–4 leaves, was carried out, which revealed changes in the NDVI value, which during theground survey confirmed an increase in the degree of clogging by annual millet weeds of the selected areas.
Keywords: precision agriculture, aerial photography, unmanned aerial vehicle (UAV), orthophotoplane, NDVI(Normalized Difference Vegetation Index).
For citation: Zhamalova D. B., Tashmukhamedov M. B. K voprosu ob osnovnykh elementakh tochnogo zemledeliyav Kostanayskoy oblasti na primere TOO “SKhOS „Zarechnoe“ [On the question of the main elements of precisionagriculture in Kostanay region on the example of LLP “Agricultural Experimental Station “Zarechnoye”] // AgrarianBulletin of the Urals. 2021. No. 08 (211). Pp. 11−17. DOI: 10.32417/1997-4868-2021-211-08-11-17. (In Russian.)
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