Foods and Raw Materials Foods and Raw Materials Foods and Raw Materials 2308-4057 2310-9599 50712 10.21603/2308-4057-2022-2-529 Research Article Research Article Research Article Digital inventory of agricultural land plots in the Kemerovo Region Digital inventory of agricultural land plots in the Kemerovo Region https://orcid.org/0000-0001-7678-8402 Rada Artem O. Rada Artem O. rada.ao@kemsu.ru https://orcid.org/0000-0002-1986-3039 Kuznetsov Aleksandr D. Kuznetsov Aleksandr D. Kemerovo State University Kemerovo Россия Kemerovo State University Kemerovo Russian Federation Kemerovo State University Kemerovo Россия Kemerovo State University Kemerovo Russian Federation 23 09 2022 23 09 2022 10 2 206 215 21 01 2022 14 04 2022 https://jfrm.ru/en/issues/20341/20324/

Cadastral and geodetic land works are expensive, which makes aerial photography extremely valuable for land traceability and inventory. The present research objective was to develop a new digital survey technology for registration of agricultural lands. We assessed the accuracy of the new method and evaluated its decision support options. The study featured the case of the Kemerovo Region (Kuzbass), Russia. The aerial survey took place in 2021 and involved 17 municipalities of the Kemerovo Region. The software and hardware complex included an unmanned aerial vehicle (UAV) and a module for aerial photography. Photogrammetric, cartometric, and satellite methods were used to define the coordinates of feature points. We developed new software (Sovhoz.avi) to perform the land inventory. The photogrammetric and cartographic methods proved efficient in determining the feature points and boundaries of land plots. They also appeared accurate enough for land inventory and decision support. The study updated the available land inventory data. About 30% of all land plots were recorded incorrectly; some plots marked as agricultural appeared to belong to the local forest reserves or urban territories. Incorrect data (1.64%) were excluded from the official inventory. The survey covered a total area of 41 000 ha and revealed 1700 illegally used land plots. The updated inventory of unused lands included 3825 new plots (163 400 ha), which can attract prospective investors. The results can be used by the local authorities to make land management decisions and identify illegal land use.

Cadastral and geodetic land works are expensive, which makes aerial photography extremely valuable for land traceability and inventory. The present research objective was to develop a new digital survey technology for registration of agricultural lands. We assessed the accuracy of the new method and evaluated its decision support options. The study featured the case of the Kemerovo Region (Kuzbass), Russia. The aerial survey took place in 2021 and involved 17 municipalities of the Kemerovo Region. The software and hardware complex included an unmanned aerial vehicle (UAV) and a module for aerial photography. Photogrammetric, cartometric, and satellite methods were used to define the coordinates of feature points. We developed new software (Sovhoz.avi) to perform the land inventory. The photogrammetric and cartographic methods proved efficient in determining the feature points and boundaries of land plots. They also appeared accurate enough for land inventory and decision support. The study updated the available land inventory data. About 30% of all land plots were recorded incorrectly; some plots marked as agricultural appeared to belong to the local forest reserves or urban territories. Incorrect data (1.64%) were excluded from the official inventory. The survey covered a total area of 41 000 ha and revealed 1700 illegally used land plots. The updated inventory of unused lands included 3825 new plots (163 400 ha), which can attract prospective investors. The results can be used by the local authorities to make land management decisions and identify illegal land use.

 Agricultural land food land inventory unmanned aerial vehicle (UAV) aerial survey illegal land use Agricultural land food land inventory unmanned aerial vehicle (UAV) aerial survey illegal land use The research was conducted on the premises of the Research Equipment Sharing Center of Kemerovo State University (KemSU) , agreement No. 075-15-2021-694 dated August 5, 2021, between the Ministry of Science and Higher Education of the Russian Federation (Minobrnauka) and Kemerovo State University (contract identifier RF----2296.61321X0032). The research was conducted on the premises of the Research Equipment Sharing Center of Kemerovo State University (KemSU) , agreement No. 075-15-2021-694 dated August 5, 2021, between the Ministry of Science and Higher Education of the Russian Federation (Minobrnauka) and Kemerovo State University (contract identifier RF----2296.61321X0032).

Cooper M, Müller B, Cafiero C, Bayas JSL, Crespo Cuaresma J, Kharas H. Monitoring and projecting global hunger: Are we on track? Global Food Security. 2021;30. https://doi.org/10.1016/j.gfs.2021.100568 Cooper M, Müller B, Cafiero C, Bayas JSL, Crespo Cuaresma J, Kharas H. Monitoring and projecting global hunger: Are we on track? Global Food Security. 2021;30. https://doi.org/10.1016/j.gfs.2021.100568 Béné C, Bakker D, Chavarro MJ, Even B, Melo J, Sonneveld A. Global assessment of the impacts of COVID-19 on food security. Global Food Security. 2021;31. https://doi.org/10.1016/j.gfs.2021.100575 Béné C, Bakker D, Chavarro MJ, Even B, Melo J, Sonneveld A. Global assessment of the impacts of COVID-19 on food security. Global Food Security. 2021;31. https://doi.org/10.1016/j.gfs.2021.100575 Genkin AS, Mikheev AA. Influence of coronavirus crisis on food industry economy. Foods and Raw Materials. 2020;8(2):204-215. https://doi.org/10.21603/2308-4057-2020-2-204-215 Genkin AS, Mikheev AA. Influence of coronavirus crisis on food industry economy. Foods and Raw Materials. 2020;8(2):204-215. https://doi.org/10.21603/2308-4057-2020-2-204-215 Vogliano C, Murray L, Coad J, Wham C, Maelaua J, Kafa R, et al. Progress towards SDG 2: Zero hunger in Melanesia - A state of data scoping review. Global Food Security. 2021;29(1). https://doi.org/10.1016/j.gfs.2021.100519 Vogliano C, Murray L, Coad J, Wham C, Maelaua J, Kafa R, et al. Progress towards SDG 2: Zero hunger in Melanesia - A state of data scoping review. Global Food Security. 2021;29(1). https://doi.org/10.1016/j.gfs.2021.100519 Cintina V, Pukite V. Analysis of influencing factors of use of agricultural land. Research for Rural Development. 2018;1:181-187. https://doi.org/10.22616/rrd.24.2018.028 Cintina V, Pukite V. Analysis of influencing factors of use of agricultural land. Research for Rural Development. 2018;1:181-187. https://doi.org/10.22616/rrd.24.2018.028 Emran S-A, Krupnik TJ, Aravindakshan S, Kumar V, Pittelkow CM. Factors contributing to farm-level productivity and household income generation in coastal Bangladesh’s rice-based farming systems. PLoS ONE. 2021;16(9). https://doi.org/10.1371/journal.pone.0256694 Emran S-A, Krupnik TJ, Aravindakshan S, Kumar V, Pittelkow CM. Factors contributing to farm-level productivity and household income generation in coastal Bangladesh’s rice-based farming systems. PLoS ONE. 2021;16(9). https://doi.org/10.1371/journal.pone.0256694 McLaughlin D, Kinzelbach W. Food security and sustainable resource management. Water Resources Research. 2015;51(7):4966-4985. https://doi.org/10.1002/2015WR017053 McLaughlin D, Kinzelbach W. Food security and sustainable resource management. Water Resources Research. 2015;51(7):4966-4985. https://doi.org/10.1002/2015WR017053 Fitton N, Alexander P, Arnell N, Bajzelj B, Calvin K, Doelman J, et al. The vulnerabilities of agricultural land and food production to future water scarcity. Global Environmental Change. 2019;58. https://doi.org/10.1016/j.gloenvcha.2019.101944 Fitton N, Alexander P, Arnell N, Bajzelj B, Calvin K, Doelman J, et al. The vulnerabilities of agricultural land and food production to future water scarcity. Global Environmental Change. 2019;58. https://doi.org/10.1016/j.gloenvcha.2019.101944 Faskhutdinova ER, Osintseva MA, Neverova OA. Prospects of using soil microbiome of mine tips for remediation of anthropogenically disturbed ecosystems. Food Processing: Techniques and Technology. 2021;51(4):883-904. (In Russ.). https://doi.org/10.21603/2074-9414-2021-4-883-904 Faskhutdinova ER, Osintseva MA, Neverova OA. Prospects of using soil microbiome of mine tips for remediation of anthropogenically disturbed ecosystems. Food Processing: Techniques and Technology. 2021;51(4):883-904. (In Russ.). https://doi.org/10.21603/2074-9414-2021-4-883-904 Drozdova MYu, Pozdnyakova AV, Osintseva MA, Burova NV, Minina VI. The microorganism-plant system for remediation of soil exposed to coal mining. Foods and Raw Materials. 2021;9(2):406-418. https://doi.org/10.21603/2308-4057-2021-2-406-418 Drozdova MYu, Pozdnyakova AV, Osintseva MA, Burova NV, Minina VI. The microorganism-plant system for remediation of soil exposed to coal mining. Foods and Raw Materials. 2021;9(2):406-418. https://doi.org/10.21603/2308-4057-2021-2-406-418 Bolfe ÉL, Jorge LAC, Sanches ID, Júnior AL, da Costa CC, Victoria DC, et al. Precision and digital agriculture: Adoption of technologies and perception of Brazilian farmers. Agriculture. 2020;10(12). https://doi.org/10.3390/agriculture10120653 Bolfe ÉL, Jorge LAC, Sanches ID, Júnior AL, da Costa CC, Victoria DC, et al. Precision and digital agriculture: Adoption of technologies and perception of Brazilian farmers. Agriculture. 2020;10(12). https://doi.org/10.3390/agriculture10120653 Shang L, Heckelei T, Gerullis MK, Börner J, Rasch S. Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction. Agricultural Systems. 2021;190. https://doi.org/10.1016/j.agsy.2021.103074 Shang L, Heckelei T, Gerullis MK, Börner J, Rasch S. Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction. Agricultural Systems. 2021;190. https://doi.org/10.1016/j.agsy.2021.103074 Rada AO, Fedulova EA, Kosinsky PD. New method for efficiency evaluation of digital technologies in agricultural sector. Food Processing: Techniques and Technology. 2019;49(3):495-504. (In Russ.). https://doi.org/10.21603/2074-9414-2019-3-495-504 Rada AO, Fedulova EA, Kosinsky PD. New method for efficiency evaluation of digital technologies in agricultural sector. Food Processing: Techniques and Technology. 2019;49(3):495-504. (In Russ.). https://doi.org/10.21603/2074-9414-2019-3-495-504 Balafoutis A, Beck B, Fountas S, Vangeyte J, van der Wal TV, Soto I, et al. Precision agriculture technologies positively contributing to GHG emissions mitigation, farm productivity and economics. Sustainability. 2017;9(8). https://doi.org/10.3390/su9081339 Balafoutis A, Beck B, Fountas S, Vangeyte J, van der Wal TV, Soto I, et al. Precision agriculture technologies positively contributing to GHG emissions mitigation, farm productivity and economics. Sustainability. 2017;9(8). https://doi.org/10.3390/su9081339 Aune JB, Coulibaly A, Giller KE. Precision farming for increased land and labour productivity in semi-arid West Africa. A review. Agronomy for Sustainable Development. 2017;37(3). https://doi.org/10.1007/s13593-017-0424-z Aune JB, Coulibaly A, Giller KE. Precision farming for increased land and labour productivity in semi-arid West Africa. A review. Agronomy for Sustainable Development. 2017;37(3). https://doi.org/10.1007/s13593-017-0424-z Adenso-Díaz B, Villa G. Crop planning in synchronized crop-demand scenarios: A biobjective optimization formulation. Horticulturae. 2021;7(10). https://doi.org/10.3390/horticulturae7100347 Adenso-Díaz B, Villa G. Crop planning in synchronized crop-demand scenarios: A biobjective optimization formulation. Horticulturae. 2021;7(10). https://doi.org/10.3390/horticulturae7100347 Cienciała A, Sobolewska-Mikulska K, Sobura S. Credibility of the cadastral data on land use and the methodology for their verification and update. Land Use Policy. 2021;102. https://doi.org/10.1016/j.landusepol.2020.105204 Cienciała A, Sobolewska-Mikulska K, Sobura S. Credibility of the cadastral data on land use and the methodology for their verification and update. Land Use Policy. 2021;102. https://doi.org/10.1016/j.landusepol.2020.105204 Kocur-Bera K, Frąszczak H. Coherence of cadastral data in land management - a case study of rural areas in Poland. Land. 2021;10(4). https://doi.org/10.3390/land10040399 Kocur-Bera K, Frąszczak H. Coherence of cadastral data in land management - a case study of rural areas in Poland. Land. 2021;10(4). https://doi.org/10.3390/land10040399 Roić M, Križanović J, Pivac D. An approach to resolve inconsistencies of data in the cadastre. Land. 2021;10(1). https://doi.org/10.3390/land10010070 Roić M, Križanović J, Pivac D. An approach to resolve inconsistencies of data in the cadastre. Land. 2021;10(1). https://doi.org/10.3390/land10010070 Malashevskyi M, Kuzin N, Palamar A, Malanchuk M. The problems of spatial ordering and taxation of agricultural lands. Geodesy and Cartography. 2017;43(4):166-172. https://doi.org/10.3846/20296991.2017.1412634 Malashevskyi M, Kuzin N, Palamar A, Malanchuk M. The problems of spatial ordering and taxation of agricultural lands. Geodesy and Cartography. 2017;43(4):166-172. https://doi.org/10.3846/20296991.2017.1412634 Lisjak J, Roić M, Tomić H, Mastelić Ivić S. Croatian LADM profile extension for state-owned agricultural land management. Land. 2021;10(2). https://doi.org/10.3390/land10020222 Lisjak J, Roić M, Tomić H, Mastelić Ivić S. Croatian LADM profile extension for state-owned agricultural land management. Land. 2021;10(2). https://doi.org/10.3390/land10020222 García-Morán A, Ulvund S, Unger E-M, Bennett RM. Exploring PPPs in support of fit-for-purpose land administration: A case study from Côte d’Ivoire. Land. 2021;10(9). https://doi.org/10.3390/land10090892 García-Morán A, Ulvund S, Unger E-M, Bennett RM. Exploring PPPs in support of fit-for-purpose land administration: A case study from Côte d’Ivoire. Land. 2021;10(9). https://doi.org/10.3390/land10090892 Feroz S, Abu Dabous S. UAV-based remote sensing applications for bridge condition assessment. Remote Sensing. 2021;13(9). https://doi.org/10.3390/rs13091809 Feroz S, Abu Dabous S. UAV-based remote sensing applications for bridge condition assessment. Remote Sensing. 2021;13(9). https://doi.org/10.3390/rs13091809 He X, Yang X, Luo Z, Guan T. Application of unmanned aerial vehicle (UAV) thermal infrared remote sensing to identify coal fires in the Huojitu coal mine in Shenmu city, China. Scientific Reports. 2020;10(1). https://doi.org/10.1038/s41598-020-70964-5 He X, Yang X, Luo Z, Guan T. Application of unmanned aerial vehicle (UAV) thermal infrared remote sensing to identify coal fires in the Huojitu coal mine in Shenmu city, China. Scientific Reports. 2020;10(1). https://doi.org/10.1038/s41598-020-70964-5 Tatum MC, Liu J. Unmanned aircraft system applications in construction. Procedia Engineering. 2017;196:167-175. https://doi.org/10.1016/j.proeng.2017.07.187 Tatum MC, Liu J. Unmanned aircraft system applications in construction. Procedia Engineering. 2017;196:167-175. https://doi.org/10.1016/j.proeng.2017.07.187 Prosekov A, Kuznetsov A, Rada A, Ivanova S. Methods for monitoring large terrestrial animals in the wild. Forests. 2020;11(8). https://doi.org/10.3390/f11080808 Prosekov A, Kuznetsov A, Rada A, Ivanova S. Methods for monitoring large terrestrial animals in the wild. Forests. 2020;11(8). https://doi.org/10.3390/f11080808 Tuśnio N, Wróblewski W. The efficiency of drones usage for safety and rescue operations in an open area: A case from Poland. Sustainability. 2022;14(1). https://doi.org/10.3390/su14010327 Tuśnio N, Wróblewski W. The efficiency of drones usage for safety and rescue operations in an open area: A case from Poland. Sustainability. 2022;14(1). https://doi.org/10.3390/su14010327 Mohamed N, Al-Jaroodi J, Jawhar I, Idries A, Mohammed F. Unmanned aerial vehicles applications in future smart cities. Technological Forecasting and Social Change. 2020;153. https://doi.org/10.1016/j.techfore.2018.05.004 Mohamed N, Al-Jaroodi J, Jawhar I, Idries A, Mohammed F. Unmanned aerial vehicles applications in future smart cities. Technological Forecasting and Social Change. 2020;153. https://doi.org/10.1016/j.techfore.2018.05.004 Montgomery K, Henry JB, Vann MC, Huseth AS, Mitasova H. Measures of canopy structure from low-cost UAS for monitoring crop nutrient status. Drones. 2020;4(3). https://doi.org/10.3390/drones4030036 Montgomery K, Henry JB, Vann MC, Huseth AS, Mitasova H. Measures of canopy structure from low-cost UAS for monitoring crop nutrient status. Drones. 2020;4(3). https://doi.org/10.3390/drones4030036 Puniach E, Bieda A, Ćwiąkała P, Kwartnik-Pruc A, Parzych P. Use of unmanned aerial vehicles (UAVs) for updating farmland cadastral data in areas subject to landslides. ISPRS International Journal of Geo-Information. 2018;7(8). https://doi.org/10.3390/ijgi7080331 Puniach E, Bieda A, Ćwiąkała P, Kwartnik-Pruc A, Parzych P. Use of unmanned aerial vehicles (UAVs) for updating farmland cadastral data in areas subject to landslides. ISPRS International Journal of Geo-Information. 2018;7(8). https://doi.org/10.3390/ijgi7080331 Mantey S, Tagoe ND. Suitability of unmanned aerial vehicles for cadastral surveys. Ghana Mining Journal. 2019;19(1):1-8. https://doi.org/10.4314/gm.v19i1.1 Mantey S, Tagoe ND. Suitability of unmanned aerial vehicles for cadastral surveys. Ghana Mining Journal. 2019;19(1):1-8. https://doi.org/10.4314/gm.v19i1.1 Šafář V, Potůčková M, Karas J, Tlustý J, Štefanová E, Jančovič M, et al. The use of UAV in cadastral mapping of the Czech Republic. ISPRS International Journal of Geo-Information. 2021;10(6). https://doi.org/10.3390/ijgi10060380 Šafář V, Potůčková M, Karas J, Tlustý J, Štefanová E, Jančovič M, et al. The use of UAV in cadastral mapping of the Czech Republic. ISPRS International Journal of Geo-Information. 2021;10(6). https://doi.org/10.3390/ijgi10060380 Karabin M, Bakuła K, Łuczyński R. Verification of the geometrical representation of buildings in cadastre using UAV photogrammetry. Geomatics and Environmental Engineering. 2021;15(4):81-99. https://doi.org/10.7494/geom.2021.15.4.81 Karabin M, Bakuła K, Łuczyński R. Verification of the geometrical representation of buildings in cadastre using UAV photogrammetry. Geomatics and Environmental Engineering. 2021;15(4):81-99. https://doi.org/10.7494/geom.2021.15.4.81 Puniach E, Kwartnik-Pruc A. The use of laser scanning and unmanned aerial vehicles in construction surveying in the light of legal regulations in Poland. Journal of Applied Engineering Sciences. 2018;8(2):79-88. Puniach E, Kwartnik-Pruc A. The use of laser scanning and unmanned aerial vehicles in construction surveying in the light of legal regulations in Poland. Journal of Applied Engineering Sciences. 2018;8(2):79-88. Brookman-Amissah M, Mantey S, Kumi-Boateng B, Aikins BE, Masoud AB. Developing a workflow for the use of unmanned aerial vehicles for cadastral mapping in Ghana. Journal of Environment and Earth Science. 2021;11(2):23-31. https://doi.org/10.7176/JEES/11-2-04 Brookman-Amissah M, Mantey S, Kumi-Boateng B, Aikins BE, Masoud AB. Developing a workflow for the use of unmanned aerial vehicles for cadastral mapping in Ghana. Journal of Environment and Earth Science. 2021;11(2):23-31. https://doi.org/10.7176/JEES/11-2-04