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Proposed algorithm for the identification of land for consolidation with regard to spatial variability of soil quality
Institution:1. Necmettin Erbakan University, Faculty of Engineering, Department of Computer Engineering, Konya, Turkey;2. Konya Technical University, Faculty of Engineering and Natural Sciences, Department of Geomatics Engineering, Konya, Turkey;3. Konya Technical University, Vocational School of Technical Sciences, Konya, Turkey;1. Department of Land Surveying, University of Agriculture in Krakow. Al. Mickiewicza 24-28, 30-059, Kraków, Poland;2. Department of Environmental Engineering and Geodesy, University of Life Sciences, Lublin, 13 Akademicka Street, 20-950, Lublin, Poland;3. Rzeszow University of Technology, Rzeszow, 2 Poznanska Street, 35-959, Rzeszow, Poland;4. Institute of Geospatial Engineering and Real Estate, University of Warmia and Mazury in Olsztyn, Prawochenskiego Str. 15, room. 117, 10-720, Olsztyn, Poland;1. Faculty of Business Administration and Accountancy, Khon Kaen University, Khon Kaen 40002, Thailand;2. E-saan Center of Business and Economic Research, Faculty of Economics, Khon Kaen University, Khon Kaen 40002, Thailand;3. Department of Computer Engineering, Khon Kaen University, Khon Kaen 40002, Thailand;1. Department of Agricultural Resources and Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China;2. School of Life and Environmental Sciences, The University of Sydney, NSW 2006, Australia;3. Department of Soil Science, University of Wisconsin - Madison, 1525 Observatory Drive, Madison, Wisconsin 53706, USA;4. Graduate School, Nanjing University of Information Science and Technology, Nanjing 210044, China;5. Agricultural Extension Service, Haining 314400, China;6. British Geological Survey, Keyworth, Nottingham, NG12 5GG, UK;1. Department of Agricultural Land Surveying, Cadastre and Photogrammetry, Faculty of Environmental Engineering and Land Surveying, University of Agriculture in Krakow, ul. Balicka 253a, 30-198, Krakow, Poland;2. Department of Landscape Ecology, Faculty of Geographical and Geological Sciences, Adam Mickiewicz University, ul. Krygowskiegio 10, 61-680, Poznan, Poland;1. Department of Computer Engineering, Selcuk University, 42075 Konya, Turkey;2. Department of Geomatics Engineering, Selcuk University, 42075 Konya, Turkey
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.
Keywords:Spatial analysis  Soil classification  Rural areas  Land consolidation
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