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Open AccessArticle

Data Grouping Method for the Purpose of Forecasting the Mechanical Strength of Plastic Soils

1
Department of Agroengineering, Faculty of Environmental Management and Agriculture, West Pomeranian University of Technology in Szczecin, Papieża Pawła VI3, 71-459 Szczecin, Poland
2
Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland
*
Author to whom correspondence should be addressed.
Agronomy 2020, 10(4), 578; https://doi.org/10.3390/agronomy10040578
Received: 12 March 2020 / Revised: 9 April 2020 / Accepted: 14 April 2020 / Published: 17 April 2020
(This article belongs to the Section Soil and Plant Nutrition)
The aim of this work was to develop a method of data grouping (DGM) that enables the selection of regression equations for forecasting soil penetration resistance based on an easily available and small set of input data: soil moisture content, soil bulk density and the grain size distribution of the soil. Models for forecasting the penetration resistance were created by selecting regression equations for specific intervals of granulometric variability of soil fractions. A field measurements campaign was conducted and soil samples were taken from the subsoil on 43 profiles, at depths of 25–30, 35–40, 45–50 and 55–60 cm. It was found that the dry bulk density is much less useful for predicting the penetration resistance of plastic soils than soil moisture. The study also showed that it is possible to forecast the soil penetration resistance on the basis of the gravimetric moisture content and the soil specific surface. View Full-Text
Keywords: data grouping; penetration resistance; predicting; soil; strength data grouping; penetration resistance; predicting; soil; strength
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MDPI and ACS Style

Błażejczak, D.; Jurga, J.; Pytka, J. Data Grouping Method for the Purpose of Forecasting the Mechanical Strength of Plastic Soils. Agronomy 2020, 10, 578.

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