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Conversion Between Soil Texture Classification Systems Using the Random Forest Algorithm
CREPC201601 CREPC201602 CREPC201603 CREPC201606 CREPC201606O Title statement Conversion Between Soil Texture Classification Systems Using the Random Forest Algorithm Main entry-name (Author) Čistý, Milan, 1957- - SvF Katedra vodného hospodárstva krajiny Another responsib. (Author) Čelár, Ľubomír, 1988- - SvF Katedra vodného hospodárstva krajiny (Author) Minarič, Peter, 1988- - SvF Katedra vodného hospodárstva krajiny Translated title Konverzia medzi klasifikačnými systémami pôdnych textúr použitím algoritmu Random Forest In Air, Soil and Water Research. -- ISSN 1178-6221. -- Vol. 8, (2015), online, s. 67-75 Subj. Headings soil texture particle size distribution data-driven modeling ensemble models Random Forest Language English Document kind RBX - článok z periodika Category ADM - 13/NOVÉ Vedecké práce v zahraničných časopisoch registrovaných v databázach Web of Science alebo SCOPUS Category (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Year 2015 Citations [1] 2019: THIAM, Magatt - THUYET, Dang Quoc - SAITO, Hirotaka - KOHGO, Yuji. Performance of the tangential model of soil water retention curves for various soil texture classes. In Geoderma, 2019, Vol. 337, pp. 514-523. ISSN 0016-7061. [1] 2019: SZABÓ, Brigitta - SZATMÁRI, Gábor - TAKÁCS, Katalin - LABORCZI, Annamária - MAKÓ, András - RAJKAI, Kálmán - PÁSZTOR, László. Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics. In Hydrology and Earth System Sciences, 2019, Vol. 23, no. 6, pp. 2615-2635. ISSN 1027-5606. [1] 2019: PACHECO, Henry Antonio - MÉNDEZ, Williams - MORO, Armando. Soil erosion risk zoning in the ecuadorian coastal region using geo-technological tools. In Earth Sciences Research Journal, 2019, Vol. 23, no. 4, pp. 293-302. ISSN 1794-6190. [1] 2022: ABDELRAHMAN, Mohamed A.E. - FARG, Eslam - SALEH, Ahmed M. - SAYED, Marwa - ABUTALEB, Khaled - ARAFAT, Sayed M. - ELSHARKAWY, Mohamed M. Mapping of soils and land-related environmental attributes in modern agriculture systems using geomatics. In Sustainable Water Resources Management, 2022, Vol. 8, no. 4, pp. ISSN 2363-5037. [1] 2024: CHRYSANTHOPOULOS, Efthymios - PERDIKAKI, Martha - MARKANTONIS, Konstantinos - KALLIORAS, Andreas. Integrated Subsurface Hydrologic Modeling for Agricultural Management Using HYDRUS and UZF Package Coupled with MODFLOW. In: Water (Switzerland), 2024, Vol. 16, no. 22, art. no. 3297. 
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