Katarzyna Pentoś

Evaluation of Multiple Linear Regression and Machine Learning Approaches to Predict Soil Compaction and Shear Stress Based on Electrical Parameters

Katarzyna Pentoś, Jasper Tembeck Mbah, Krzysztof Pieczarka et al. · Applied Sciences · 2022 · 39 citations · Full text

Function Neural Network, Precision Agriculture, Engineering +16

The methods of extracting the contribution of variables in artificial neural network models – Comparison of inherent instability

Katarzyna Pentoś · Computers and Electronics in Agriculture · 2016 · 37 citations

Nonlinear System Identification, Inherent Instability, Machine Learning +5

Modelling of Mechanical Properties of Fresh and Stored Fruit of Large Cranberry Using Multiple Linear Regression and Machine Learning

Józef Gorzelany, Justyna Belcar, Piotr Kuźniar et al. · Agriculture · 2022 · 36 citations · Full text

Precision Agriculture, Apparent Elasticity Index, Machine Learning +13

Applying an artificial neural network approach to the analysis of tractive properties in changing soil conditions

Katarzyna Pentoś, Krzysztof Pieczarka · Soil and Tillage Research · 2016 · 35 citations

Geotechnical Engineering, Soil Conditions, Soil Property +5

The Relationship between Soil Electrical Parameters and Compaction of Sandy Clay Loam Soil

Katarzyna Pentoś, Krzysztof Pieczarka, Kamil Serwata · Agriculture · 2021 · 29 citations · Full text

Precision Agriculture, Environmental Monitoring, Soil Electrical Parameters +19