Composition and sources of information and analytical support for agricultural land valuation
DOI:
https://doi.org/10.31548/zemleustriy2024.03.01Keywords:
assessment of agricultural land, land market, geographic information systems, remote sensing, crop yields, environmental sustainability, soil fertility, soil productivity for cropsAbstract
It is determined that in order to form a model for agricultural land valuation, it is necessary to use modern methods and tools, in particular, remote sensing, machine learning and artificial intelligence, big data analysis, geographic information systems (GIS), and agroscouting. It is established that the composition and sources of information and analytical support for such a model are crucial. We have determined that among the factors affecting the price and value of agricultural land, we should consider such indicators as environmental sustainability, crop yields, infrastructure development, cultivation technologies, production organisation, logistics, etc. The analysis of these factors and the results of the studies conducted indicate the need to use a large amount of data to ensure an accurate valuation of agricultural land. Taking into account these factors and the indicators presented in the study will make the assessment more comprehensive and objective, which, in turn, will facilitate informed decision-making in the field of land relations. It is established that the data available in the state registers do not allow for an objective determination of the value of agricultural land plots. It is also noted that the sources of information for obtaining quantitative and qualitative indicators should ensure their relevance, completeness, reliability and timeliness. The author provides a dynamic list of geoportals that are recommended to be used to obtain such information.
Key words: assessment of agricultural land, land market, geographic information systems, remote sensing, crop yields, environmental sustainability, soil fertility, soil productivity for crops
References
Kupriianchyk, I., Stetsiuk, M., Bratinova, M., Kharytonenko, R., & Shtogryn, H. (2023, October). Data Collection Methods for Land Evaluation in Ukraine. In International Conference of Young Professionals «GeoTerrace-2023» (Vol. 2023, No. 1, pp. 1-5). European Association of Geoscientists & Engineers. DOI https://doi.org/10.3997/2214-4609.2023510096
Dorosh, Y., Dorosh, A., Derkulskiy, R., Bratinova, M. (2024). Application of GIS in land management on the example of Ukraine. Acta Scientiarum Polonorum Administratio Locorum. 23. 31-41. DOI https://doi.org/10.31648/aspal.9140
Dorosh, Y., M., Ibatullin, Sh., I., Tarnopolskyi, A., V., Dorosh, O., S. (2020). Naukove obgruntuvannya udoskonalennya systemy derzhavnoho zemelʹnoho kadastru v Ukrayini: teoretychni ta metodolohichni zasady [Scientific rationale for improving the state land cadastre system in Ukraine: theoretical and methodological foundations]. Zemleustriy, kadastr i monitorynh zemel. 1. 38-49. DOI https://doi.org/10.31548/zemleustriy2020.01.05
DeMers, M., N., Pease, J., R., Nothcrown, L., Phillips, M., and Ananthanarayanan, S. (2003). Natural resource evaluation: A national survey of systems. A report to the Soil and Water Conservation Society (SWCS) in partial fulfillment of the requirements of SWCS contract. Nebraska City, Nebraska. Available at: https://farmlandinfo.org/wp-content/uploads/sites/2/2019/09/Enhancing_LESA_Report_1.pdf
Pankiv, Z., Kyrylchuk, A., Bonishko, O. (2021). Otsinka gruntiv silʹsʹkohospodarsʹkykh zemelʹ Lʹvivsʹkoyi oblasti [Assessment of soils of agricultural lands of Lviv region]. Naukovi zapysky Ternopilʹsʹkoho natsionalʹnoho pedahohichnoho universytetu imeni Volodymyra Hnatyuka. Seriya: heohrafiya. 50(1). 169-177. DOI https://doi.org/10.25128/2519-4577.21.1.21
Tsitska, N., E. (2015). Aktualʹni pytannya obliku zemelʹ silʹsʹkohospodarsʹkoho pryznachennya [Current issues of accounting for agricultural land]. Hlobalʹni ta natsionalʹni problemy ekonomiky. 6. 897-900. Available at: http://www.global-national.in.ua/archive/6-2015/183.pdf
Jansen, M., Judas, M. and Saborowski, J. (2004). Spatial modeling in forest ecology and management: A case study. International Journal of Geographical Information Science. 18(3). 299-300. DOI: 10.1007/978-3-642-56155-9
Bratinova, M., V., Vakulenko, V., L. (2023). Osoblyvosti zminy vartosti zemelʹnykh dilyanok v umovakh zabezpechennya prodovolʹchoyi bezpeky Ukrayiny [Peculiarities of changes in the value of land plots in the context of ensuring food security of Ukraine]. Zemleustriy, kadastr i monitorynh zemelʹ. 4. 79-88. DOI http://dx.doi.org/10.31548/zemleustriy2023.04.08
Ibatullin, Sh., Dorosh, Y., Sakal, O., Krupin, V., Kharytonenko, R., Bratinova, M. (2024). Agricultural Land Market in Ukraine: Challenges of Trade Liberalization and Future Land Policy Reforms. Land. 3. 338. DOI https://doi.org/10.3390/land13030338
Geoinformation system "Uvekon". Available at: https://www.uvecon.ua/
Osman, M., A. A., Abdel-Rahman, E., M., Onono, J., O., Olaka, L., A., Elhag, M., M., Adan, M., Tonnang, H., E. Z. (2023). Mapping, intensities and future prediction of land use/land cover dynamics using google earth engine and CA- artificial neural network model. Mapping, intensities and future prediction of land use/land cover dynamics using google earth engine and CA- artificial neural network model. PLOS ONE 18(7): e0288694. DOI https://doi.org/10.1371/journal.pone.0288694
The main site about agribusiness "Latifundist.com". Sowing online 2022/23. Available at: https://latifundist.com/posevnaya-online-2023
Ministry of Agrarian Policy of Ukraine. Map of crops of Ukraine. Available at: https://ukraine-cropmaps.com/
The main site about agribusiness "Latifundist.com". Harvest Online 2023. Available at: https://latifundist.com/urozhaj-online-2023
State Statistics Service of Ukraine. Agriculture, forestry and fisheries. Available at: https://ukrstat.gov.ua/druk/publicat/Arhiv_u/07/Arch_posiv_bl.htm
State Geocadaster Electronic services. Available at: https://e.land.gov.ua/
Maps of Ukraine. Soil fertility of Ukraine. Available at: https://geomap.land.kiev.ua/fruitfulness.html
On the approval of the Procedure for conducting land and soil monitoring: Resolution of the Cabinet of Ministers of Ukraine of July 23, 2024. 848. Available at: https://zakon.rada.gov.ua/laws/show/848-2024-%D0%BF#Text
Superagronom. My yikh vtrachayemo! [We are losing them! The soils of Ukraine are impoverished and degraded]. Available at: https://superagronom.com/articles/727-mi-yih-vtrachayemo-grunti-ukrayini-bidniyut-i-degraduyut
Kuryltsiv, R., Myronov, O. (2024). Analysis of information support in the context of establishing a mass appraisal system for land in Ukraine. Geodesy, Cartography and Aerial Photography. 99. 38-45. DOI https://doi.org/10.23939/istcgcap2024.99.038
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