{"id":4946,"date":"2025-11-16T14:33:33","date_gmt":"2025-11-16T14:33:33","guid":{"rendered":"https:\/\/izvestiyakbncran.ru\/?page_id=4946"},"modified":"2026-04-13T08:26:15","modified_gmt":"2026-04-13T07:26:15","slug":"27-5-16-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/27-5-16-en\/","title":{"rendered":"27.5.16 En"},"content":{"rendered":"\n

Optimizing corn production through digital and smart technologies<\/strong><\/h1>\n\n\n\n

V.M. Shuganov, A.Kh. Shogenov, Z.Yu. Kantiev, R.V. Bizhoev<\/strong><\/p>\n\n\n\n

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Upload the full text<\/strong><\/strong><\/p>\n\n\n\n

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Abstract<\/strong><\/strong>: <\/em>In the face of ongoing global challenges such as population growth, climate change, and soil degradation, the need to increase grain yields through digital transformation is becoming an urgent issue. Smart farming, through the widespread use of digital and intelligent technologies, robotics, and unmanned aerial vehicles, is crucial for increasing grain production and efficient resource management. One of the primary applications of unmanned aerial vehicles is multispectral imaging for effective agricultural monitoring, providing crop producers with detailed information on crop condition, which is particularly important for the prompt and timely implementation of management tasks related to grain crop breeding and seed production.
Aim<\/strong>. The paper aims to explore the monitoring and differentiated crop protection against common smut using digital and smart technologies.
Materials and methods<\/strong>. The study involves systematic monitoring for corn smut symptoms and subsequent spraying using various modern technologies, including traditional and unmanned aerial vehicles (UAVs). The research was conducted at an experimental site in the rural settlement of Opytnoye in the Tersky Municipal District, Kabardino-Balkarian Republic, during corn crops in 2022\u20132024. Operational monitoring of corn plots was conducted using a DJI Mavic 3M UAV, while the DJI AGRAS MG-1 and DJI Agras T10 were used for crop spraying in various years.
Results<\/strong>. This article presents the results of studies using different technical parameters of UAVs for multispectral monitoring and differentiated application of plant protection products to corn crops. Using a DJI Mavic 3M unmanned aerial vehicle (UAV) at an altitude of 150 m with automatic flight speed control from 5 to 9 m\/s enables multispectral imaging, ensuring high-performance and high-quality phenotyping of grain crops. Variable-rate fungicide application using a DJI Agras T10 UAV at a working solution concentration of 75% of the recommended rate resulted in a 10.7\u201322.6% increase in yield in the experimental plots compared to the control plot.
Conclusion<\/strong>. The optimal fungicide application schedule in the experimental plots not only ensured uniform plant coverage and increased effectiveness in controlling common smut, but also reduced the cost of crop protection products, reduced chemical loads, and preserved the soil and environment.<\/p>\n\n\n\n

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Keywords<\/strong><\/em><\/strong>:<\/em> digital and smart technologies, corn crops, bladder smut, drones, multispectral imaging, monitoring, spraying<\/p>\n\n\n\n

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For citation<\/strong>.<\/strong> Shuganov V.M., Shogenov A.Kh., Kantiev Z.Yu., Bizhoev R.V. Optimizing corn production through digital and smart technologies. News of the Kabardino-Balkarian Scientific Center of RAS<\/em>. 2025. Vol. 27. No. 5. Pp. 200\u2013210. DOI: 10.35330\/1991-6639-2025-27-5-200-210<\/p>\n\n\n\n

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R<\/strong>eferences<\/summary>\n
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  2. Rezvitsky T.Kh., Tikidzhan R.A., Pozdnyakova A.V. et al. Common smut on corn crops. The Scientific Heritage. 2021. No. 5-1(58). Pp. 19\u201321. DOI: 10.24412\/9215-0365-2021-58-1-19-21<\/li>\n\n\n\n
  3. Artokhin K.S., Ivaschenko V.G. Features of the diagnosis of phytophagous, pathogens and weeds in the corn crop protection system (methodological and practical aspects). Plant Protection News. 2018. No. 4(98). Pp. 5\u201312. DOI: 10.31993\/2308-6459-2018-4(98)-5-12. (In Russian)<\/li>\n\n\n\n
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  6. Svidunovich N.L., Zhukovsky A.G. Efficiency of fungicides in protecting corn against common smut and fusarium ear blight in Belarus. Vestnik Belorusskoy gosudarstvennoy sel’skohozyajstvennoy akademii [Bulletin of the Belarusian State Agricultural Academy]. 2021. No. 2. Pp. 107\u2013112. EDN: NOLRNT. (In Russian)<\/li>\n\n\n\n
  7. Mohidem N.A., Che\u2019Ya N.N., Juraimi A.S. et al. How can unmanned aerial vehicles be used for detecting weeds in agricultural fields? Agriculture. 2021. No. 11(10). Article ID: 1004. DOI: 10.3390\/agriculture11101004<\/li>\n\n\n\n
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  10. Zubarev Yu.N., Fomin D.S., Chashchin A.N., Zabolotnova M.V. Use of unmanned aerial vehicles in agriculture. Bulletin of the Perm Federal Research Center. No. 2. 2019. Pp. 47\u201351. DOI: 10.7242\/2658-705X\/2019.2.5. (In Russian)<\/li>\n\n\n\n
  11. Shuganov V.M., Leshkenov A.M., Shogenov A.Kh., Kantiev Z.Yu. Development of a promising spraying method for the production of hybrid corn seeds. News of the Kabardino- alkarian Scientific Center of RAS. 2022. No. 6(110). Pp. 236\u2013248. DOI: 10.35330\/1991-6639-2022-6-236-248. (In Russian)<\/li>\n\n\n\n
  12. Metodicheskiye rekomendatsii po primeneniyu sredstv zashchity rasteniy s ispol’zovaniyem bespilotnykh aviatsionnykh sistem [Methodological recommendations for the application of plant protection products using unmanned aerial systems]. Moscow: Rossel’khoztsentr, 2021. 150 p. (In Russian)<\/li>\n\n\n\n
  13. Ram B.G., Oduor P., Igathinathane C. et al. A systematic review of hyperspectral imaging in precision agriculture: Analysis of its current state and future prospects. Computers and Electronics in Agriculture. 2024. Vol. 222. P. 109037. DOI: 10.1016\/j.compag.2024.109037<\/li>\n<\/ol>\n<\/details>\n\n\n\n
    Information about the author<\/strong>s<\/summary>\n
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    Vladislav M. Shuganov<\/strong>, Doctor of Agricultural Sciences, Head of the Scientific and Innovation Center \u201cIntelligent Systems and Environments of Food Production and Consumption\u201d, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
    2 Balkarov street, Nalchik, 360010, Russia;
    vmshuganov@mail.ru, ORCID: https:\/\/orcid.org\/0000-0002-5189-998X, SPIN-code: 6767-7554
    Anzor Kh. Shogenov<\/strong>, Candidate of Agricultural Sciences, Researcher, Laboratory of Intelligent Distribution Agricultural Systems, Scientific and Innovation Center \u201cIntelligent Systems and Environments of Food Production and Consumption\u201d, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
    2 Balkarov street, Nalchik, 360010, Russia;
    a.vonegosh@yandex.ru, ORCID: https:\/\/orcid.org\/0000-0002-1184-5397, SPIN-code: 5996-3532
    Zaurbek Yu. Kantiev<\/strong>, Junior Researcher, Agricultural Robotics Laboratory, Scientific and Innovation Center \u201cIntelligent Systems and Environments of Food Production and Consumption\u201d, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
    2 Balkarov street, Nalchik, 360010, Russia;
    kantvako@gmail.com, ORCID: https:\/\/orcid.org\/0000-0003-4997-1177
    Ruslan V. Bizhoev<\/strong>, Researcher, Agricultural Robotics Laboratory, Scientific and Innovation Center \u201cIntelligent Systems and Environments of Food Production and Consumption\u201d, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
    2 Balkarov street, Nalchik, 360010, Russia;
    bizhoeva49@mail.ru, ORCID: https:\/\/orcid.org\/0000-0001-5408-3006, SPIN-code: 4821-0152<\/p>\n\n\n\n

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    Optimizing corn production through digital and smart technologies V.M. Shuganov, A.Kh. Shogenov, Z.Yu. Kantiev, R.V. Bizhoev Upload the full text Abstract: In the face of ongoing global challenges such as population growth, climate change, and soil degradation, the need to increase grain yields through digital transformation is becoming an urgent issue. Smart farming, through the […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"wp-custom-template-home","meta":{"footnotes":""},"class_list":["post-4946","page","type-page","status-publish","hentry"],"yoast_head":"\n27.5.16 En - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/izvestiyakbncran.ru\/index.php\/en\/27-5-16-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"27.5.16 En - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb\" \/>\n<meta property=\"og:description\" content=\"Optimizing corn production through digital and smart technologies V.M. 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