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Proposed algorithm for the identification of land for consolidation with regard to spatial variability of soil quality

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  • Wójcik - Leń, Justyna
  • Postek, Paweł
  • Stręk, Żanna
  • Leń, Przemysław

Abstract

The quality of soil is one of the most significant factors having a real impact on the potential level of agricultural crops. Therefore, it is a significant element shaping the profitability of agricultural production in the specific area. Familiarity with spatial variability of soil quality classes in respective voivodeships has an impact on planning the development of agricultural areas and effective allocation of money to rural spatial restructuring. This element also provides important information in the process of consolidation works programming which takes place at the regional government level. This data is characterised by very long usability due to a small number of changes referring to classification of land entered into the land and building survey. Data on the quality and suitability of soil in the analysed area was acquired from the analysis of data from the land and building survey. Analyses were carried out in 3 poviats of Lublin voivodeship located in the eastern part of Poland covering an area of 501 132.9 ha, split into 610,160 plots. This paper presents an algorithm designed by the author for identifying areas in which land consolidation works should be performed, including its practical application using the adopted sample. The algorithm identifies areas characterised by the highest soil quality, which makes it possible to indicate areas where land consolidation work should first be undertaken.

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  • Wójcik - Leń, Justyna & Postek, Paweł & Stręk, Żanna & Leń, Przemysław, 2020. "Proposed algorithm for the identification of land for consolidation with regard to spatial variability of soil quality," Land Use Policy, Elsevier, vol. 94(C).
    • Handle: RePEc:eee:lauspo:v:94:y:2020:i:c:s0264837719319623
    DOI: 10.1016/j.landusepol.2020.104570
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Przemysław Leń & Klaudia Maciąg & Michał Maciąg & Justyna Wójcik-Leń & Katarzyna Kocur-Bera, 2023. "Automated Processing of Data in the Comparative Estimation of Land Value during Land Consolidation Works," Sustainability, MDPI, vol. 15(10), pages 1-13, May.
    2. Janus, Jarosław & Ertunç, Ela, 2022. "Towards a full automation of land consolidation projects: Fast land partitioning algorithm using the land value map," Land Use Policy, Elsevier, vol. 120(C).
    3. Pašakarnis, Giedrius & Maliene, Vida & Dixon-Gough, Robert & Malys, Naglis, 2021. "Decision support framework to rank and prioritise the potential land areas for comprehensive land consolidation," Land Use Policy, Elsevier, vol. 100(C).
    4. Paweł Postek & Justyna Wójcik-Leń & Przemysław Leń & Żanna Stręk, 2022. "Identifying Villages for Land Consolidation: A New Agricultural Land Erosion Indicator," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    5. Przemysław Leń & Michał Maciąg & Klaudia Maciąg, 2023. "Design of an Automated Algorithm for Delimiting Land Use/Soil Valuation Classes as a Tool Supporting Data Processing in the Land Consolidation Procedure," Sustainability, MDPI, vol. 15(11), pages 1-15, May.
    6. Mevlut Uyan & Jarosław Janus & Ela Ertunç, 2023. "Land Use Suitability Model for Grapevine ( Vitis vinifera L.) Cultivation Using the Best Worst Method: A Case Study from Ankara/Türkiye," Agriculture, MDPI, vol. 13(9), pages 1-20, August.
    7. Justyna Wójcik-Leń, 2022. "Identifying Villages for Land Consolidation: A New Agricultural Wasteland Concentration Indicator," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
    8. Przemysław Leń & Klaudia Maciąg & Michał Maciąg & Justyna Wójcik-Leń & Katarzyna Kocur-Bera, 2023. "Proposed Algorithm for the Optimisation of the Process of Generating the Geometry of Land Use/Soil Valuation Classes for Land Consolidation," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    9. Wei Xia & Gangqiao Yang, 2022. "Decision-Making Evaluation of the Pilot Project of Comprehensive Land Consolidation from the Perspective of Farmers and Social Investors: A Case Study of the Project Applied in Xianning City, Hubei Pr," Land, MDPI, vol. 11(9), pages 1-20, September.

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