{"id":2161,"date":"2025-05-13T11:29:19","date_gmt":"2025-05-13T10:29:19","guid":{"rendered":"http:\/\/newskbncran.ru\/?page_id=2161"},"modified":"2026-03-30T14:11:26","modified_gmt":"2026-03-30T13:11:26","slug":"26-5-3-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/26-5-3-en\/","title":{"rendered":"26.5.3 en"},"content":{"rendered":"\n

Using unmanned aerial vehicles to identify unauthorized municipal solid waste dump sites<\/strong><\/h4>\n\n\n\n

A.A. Popov, A.M. Tramova, Yu.D. Romanova<\/strong><\/strong><\/p>\n\n\n\n

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Abstract<\/em><\/strong>.<\/em> <\/strong>The article is devoted to the issues related to the use of unmanned aerial vehicles for waste management. The purpose of the research is to improve the waste management system by recognizing municipal solid waste in images obtained using unmanned aerial vehicles. The object of the study is waste management. The subject of the research is a methodological apparatus that allows: to determine the required number of unmanned aerial vehicles for remotely obtaining the required number of images of surface areas within a specified period of time and to detect unauthorized dumps sites (accumulations of municipal solid waste) in the obtained images. An analysis of examples of using neural networks and machine learning algorithms for recognizing unauthorized dumps sites in images obtained as a result of remote monitoring of the surface using manned and unmanned aerial vehicles is carried out. An algorithm for determining the minimum number of flights of unmanned aerial vehicles to monitor a surface area is built and the features of using the algorithm are considered. The results obtained in the work can be used in the design of a waste management system that includes remote sensing of the surface using unmanned aerial vehicles.<\/p>\n\n\n\n

Keywords<\/em><\/strong>:<\/em> \u201cgarbage\u201d reform, waste management, unmanned aerial vehicle, control, unauthorized accumulations of waste, surface image, neural network, machine learning, waste recognition, algorithm<\/p>\n\n\n\n

For citation<\/strong>. Popov A.A., Tramova A.M., Romanova Yu.D. Using unmanned aerial vehicles to identify unauthorized municipal solid waste dump sites. News of the Kabardino-Balkarian Scientific Center of RAS.<\/em>2024. Vol. 26. No. 5. Pp. 40\u201352. DOI: 10.35330\/<\/strong>1991-6639-2024-26-5-40-52<\/p>\n\n\n\n

References<\/strong><\/summary>\n
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  5. Wilkinson A.K. The identification of garbage dumps in the rural areas of Cyprus through the application of deep learning to satellite imagery. arXiv. 2023. Vol. 8. Art. number:02502. DOI: 10.13140\/RG.2.2.22837.86244<\/li>\n\n\n\n
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  7. Torres R.N., Fraternali P. Learning to Identify Illegal Landfills through Scene Classification in Aerial Images. Remote Sensing. 2021. Vol. 13(22). Art. Number: 4520. DOI: 10.3390\/rs13224520<\/li>\n\n\n\n
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    <\/p>\n<\/details>\n\n\n\n

    Information about the authors<\/strong><\/summary>\n

    Aleksey A. Popov<\/strong>, Candidate of Technical Sciences, Associate Professor, Associate Professor of the Department of Informatics of the Plekhanov Russian University of Economics;
    117997, Russia, Moscow, 36 Stremyannyy lane;
    Popov.aa@rea.ru, ORCID: https:\/\/orcid.org\/0000-0002-0692-3629, SPIN-code: 4105-9404
    Aziza M. Tramova<\/strong>, Doctor of Economic Sciences, Associate Professor, Professor of the Department of Informatics of the Plekhanov Russian University of Economics;
    117997, Russia, Moscow, 36 Stremyannyy lane;
    Tramova.am@rea.ru, ORCID: https:\/\/orcid.org\/0000-0 002-4089-6580, SPIN-code: 8583-3592
    Yulia D. Romanova<\/strong>, Candidate of Economic Sciences, Associate Professor, Professor of the Department of Informatics of the Plekhanov Russian University of Economics;
    117997, Russia, Moscow, 36 Stremyannyy lane;
    Romanova.jud@rea.ru, ORCID: https:\/\/orcid.org\/0000-0002-8273-0757 , SPIN-code: 8743-9162<\/p>\n\n\n\n

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    Using unmanned aerial vehicles to identify unauthorized municipal solid waste dump sites A.A. Popov, A.M. Tramova, Yu.D. Romanova Upload the full text Abstract. The article is devoted to the issues related to the use of unmanned aerial vehicles for waste management. The purpose of the research is to improve the waste management system by recognizing […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2161","page","type-page","status-publish","hentry"],"yoast_head":"\n26.5.3 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\/26-5-3-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"26.5.3 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=\"Using unmanned aerial vehicles to identify unauthorized municipal solid waste dump sites A.A. 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