DIGITAL SOIL MAPPING APPROACH TO ESTIMATE SOIL PLASTICITY USING GEOREFERENCED TECHNICAL DATA OF TRACTORS

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Authors

  • Endre DOBOS University of Miskolc
  • Emese SZABÓ KITE ZRt.
  • Sándor CSENKI University of Miskolc
  • Tsegay BEREKET MENGHIS University of Miskolc
  • Ferenc MOLNÁR University of Miskolc
  • András DOBAI University of Miskolc
  • Mohamed RAJHI University of Miskolc

Keywords:

soil plasticity, precision agriculture, management zones

Abstract

Soil and terrain properties are the most important environmental elements for characterization of within-field variability supporting the management zone definition. This study aims to develop a digital soil mapping approach to map texture related soil property, namely soil plasticity (Ka) using georeferenced machinery data derived from log file created along soil-tillage activities. The results indicated that speed and the distance values have the highest correlation with Ka, having values around 0,4-0,5. The development of the regression model resulted in an adjusted R2 value of 0.71, but the p-value was still around 0.2. These results indicate that the approach has a good potential, but statistics needs to be improved with data preprocessing.

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Published

2023-10-06

Issue

Vol. 11 No. 1 (2023)

Section

Articles