Russian Federation
UDC 004.8
Taking into account the regional peculiarities of the Krasnodar Territory, the study revealed the problems of the state cadastral valuation of real estate, including land plots, due to the use of market-oriented methods, the lack of relevance of information during preparatory work, and ignoring technological parameters. These factors provoke legal proceedings to challenge the cadastral value. Back in 2018, the Scientific and Technical Expert Council at the Association of Budgetary Institutions for Cadastral Valuation initiated the creation of specialized software that automates the activities of state budgetary institutions performing state cadastral valuation. The article proposes an innovative methodology for collecting and analyzing information at the stage of preparatory work for the state cadastral valuation of real estate, based on the use of artificial intelligence technologies, adapted to the regional peculiarities of the Krasnodar Territory. Algorithms for automated data collection on analog objects and a computer vision system for analyzing the current state of land plots have been developed. A special feature of the methodology is the integration of an automated system for collecting and processing cadastral data based on machine learning, algorithms for recognizing inappropriate land use from satellite images, and the regional adaptability of the assessment model taking into account agro-climatic and economic factors of the Krasnodar Territory. Methodological and technological solutions aimed at improving the process of state cadastral valuation of real estate objects are economically justified, and indicators have been calculated that confirm their economic effectiveness and social significance.
Regional features, state cadastral valuation, real estate objects, information, data collection and analysis, artificial intelligence, economic efficiency
1. Varlamov, A.A., d-r. ekon. nauk, professor S.A. Gal'chenko, d-r. ekon. nauk, professor R.V. Zhdanova, kand. ekon. nauk, docent A.A. Rasskazova, kand. ekon. nauk, docent Gosudarstvennyy universitet po zemleustroystvu, g. Moskva Analiz informacionnogo obespecheniya provedeniya gosudarstvennoy kadastrovoy ocenki zemel' sel'skohozyaystvennogo naznacheniya.
2. Pal'ceva, D. E. Podhody k cifrovoy transformacii sistemy kadastrovoy ocenki na primere zemel' sel'skohozyaystvennogo naznacheniya / D. E. Pal'ceva, N. A. Studenkova. – Tekst: neposredstvennyy // Problemy geologii i osvoeniya nedr: TrudyXXVII Mezhdunarodnogo molodezhnogo nauchnogo simpoziuma imeni akademika M. A. Usova. – 2023. – T. 1. – S. 164–165. EDN: https://elibrary.ru/NAWAPM
3. Kozina, M. V. Formirovanie podhodov k razvitiyu cifrovoy infrastruktury sistemy kadastrovoy ocenki na primere zemel' sel'skohozyaystvennogo naznacheniya / M. V. Kozina, N. A. Studenkova, D. E. Pal'ceva. – Tekst : neposredstvennyy // Izvestiya Tomskogo poli-tehnicheskogo universiteta. Inzhiniring georesursov. – 2023. – T. 334, № 8. – S. 7–1.
4. O poryadke vedeniya gosudarstvennogo reestra zemel' sel'skohozyaystvennogo naznacheniya : postanovlenie Pravitel'stva RF ot 02.02.2023 № 154. – URL: https://docs.cntd.ru/document/1300788234. – Tekst : elektronnyy.
5. Barvinko, O. A. Rol' iskusstvennogo intellekta v reshenii zadach zemleustroystva / O. A. Barvinko, D. A. Pikalov, G. N. Barsukova // Nauka i innovacii. Iskusstvennyy intellekt v sovremennom mire : materialy Mezhdunarodnoy nauchno-prakticheskoy konferencii. Elektronnyy resurs, Krasnodar, 27 fevralya 2024 goda. – Krasnodar: FGBU "Rossiyskoe energeticheskoe agentstvo" Minenergo Rossii Krasnodarskiy CNTI- filial FGBU "REA" Minenergo Rossii, 2024. – S. 33-37. – EDN UQLZKY.
6. Barsukova G. N. Regional'nye osobennosti zemel'nyh resursov Krasnodarskogo kraya / G. N. Barsukova, K. A. Yurchenko // Zemleustroystvo, kadastr i monitoring zemel'. – 2020. – № 6(185). – S. 29-33. ; Regional'noe zemleustroystvo / G. N. Barsukova, K. A. Yurchenko, E. N. Coraeva [i dr.]. – Krasnodar : Kubanskiy gosudarstvennyy agrarnyy universitet imeni I.T. Trubilina, 2019. – 154 s. EDN: https://elibrary.ru/LYXSNG
7. Barsukova, G. N. Establishment of boundaries and determination of highly valuable grape-suitable agricultural land areas using modern information technologies / G. N. Barsukova, K. A. Yurchenko // IOP Conference Series: Earth and Environmental Science. – 2022. – Vol. 1045, No. 1. – P. 012073. – DOIhttps://doi.org/10.1088/1755-1315/1045/1/012073. – EDN LMRJHT.
8. Barsukova, G. N. Ispol'zovanie geoinformacionnyh podhodov pri verifikacii rynochnoy informacii iz otkrytyh istochnikov dlya celey gosudarstvennoy kadastrovoy ocenki ob'ektov nedvizhimosti / G. N. Barsukova, A. A. Lysenko, V. V. Guba // Moskovskiy ekonomicheskiy zhurnal. – 2024. – T. 9, № 6. – S. 377-388. – DOIhttps://doi.org/10.55186/2413046X_2024_9_6_298. – EDN ZZCFIZ.
