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pro vyhledávání: '"Stanisław Gruszczyński"'
Autor:
Stanisław Gruszczyński
Publikováno v:
Geomatics and Environmental Engineering. 15:63-95
Using the Land Use and Coverage Frame Survey (LUCAS) database of European soil surface layer properties, statistical and machine learning predictive models for several key soil characteristics (clay content, pH in CaCl2, concentration of organic carb
Autor:
Stanisław Gruszczyński
Publikováno v:
Soil Science Annual, Vol 70, Iss 4, Pp 298-313 (2019)
One of the basic methods for soil analysis time and cost reduction is using soil sample spectral response in laboratory conditions. The problem with this method lies in determining the relationship between the shape of the soil spectral response and
Publikováno v:
Geomatics and Environmental Engineering. 13:29-45
This paper contains the results of the studies on the content of organic carbon in the initial soils formed from soilless formations reclaimed for forest management. The obtained data allowed for the assessment of the carbon resources in the organic
Supporting soil and land assessment with machine learning models using the Vis-NIR spectral response
Publikováno v:
Geoderma. 405:115451
Soil Vis-NIR spectral response had been widely proposed as an alternative to costly and time-consuming laboratory determination of soil physical and chemical properties. However its use for measuring soil quality index directly has not been well expl
Publikováno v:
Journal of Water and Land Development, Vol 30, Iss 1, Pp 127-139 (2016)
The article presents the results of attempts to use adaptive algorithms for classification tasks different soils units. The area of study was the Upper Silesian Industrial Region, which physiographic and soils parameters in the form of digitized was
Autor:
Stanisław Gruszczyński
Publikováno v:
Soil Science Annual, Vol 66, Iss 3, Pp 98-110 (2015)
The aim of the study was to test the ability to model soil capability units diversity of on the basis of limited information about particle size and morphology of the terrain data. The data obtained from digitization of maps of agricultural soil and
Autor:
Stanisław Gruszczyński
Publikováno v:
ISRN Soil Science.
The ensemble of classifiers for identification of agricultural suitability of soils on the basis of physiographic information was created in accordance with the stacking algorithm. It is comprised of five neural networks of various structures. The de
Autor:
Stanisław Gruszczyński
Publikováno v:
Environmental Protection in the European Union ISBN: 9783540311409
Mining includes many different technologies used in searching and exploiting mineral resources in the form useful for their further use. Apart from obviously associated with mining underground mining enterprises (hard coal, lignite, metal ores, chemi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8440fc7d3d4c6c255652dd1f4baf8cf5
https://doi.org/10.1007/978-3-540-31141-6_15
https://doi.org/10.1007/978-3-540-31141-6_15