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Articles

Geospatial modeling of surface soil texture of agricultural land using fuzzy logic, geostatistics and GIS techniques

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Pages 1452-1464 | Received 06 Sep 2018, Accepted 20 May 2019, Published online: 11 Jun 2019

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Gholamreza Hesamian & Mohamad Ghasem Akbari. (2020) A kriging method for fuzzy spatial data. International Journal of Systems Science 51:11, pages 1945-1958.
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F. Saygın, H. Aksoy, P. Alaboz, M. Birol & O. Dengiz. (2024) Estimation of soil erodability parameters based on different machine algorithms integrated with remote sensing techniques. International Journal of Environmental Science and Technology.
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Rafael G. Siqueira, Cássio M. Moquedace, Márcio R. Francelino, Carlos E.G.R. Schaefer & Elpídio I. Fernandes-Filho. (2023) Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula. Geoderma 432, pages 116405.
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Sah Kausar Reza, Nirmal Kumar, Sundaram Ramachandran, Subrata Mukhopadhyay, Surendra Kumar Singh, Brahma S. Dwivedi & Sanjay Kumar Ray. (2021) Geo-spatial analysis for horizontal and vertical variability of bulk density, particle-size distribution and soil moisture content in Tripura, Northeastern India. Arabian Journal of Geosciences 14:24.
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Anna Tirpáková, Jana Vojteková, Matej Vojtek & Ivona Vlkolinská. (2021) Using Fuzzy Logic to Analyze the Spatial Distribution of Pottery in Unstratified Archaeological Sites: The Case of the Pobedim Hillfort (Slovakia). Land 10:2, pages 103.
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