DEVELOPMENT OF A SIMPLE PREDICTION MODEL FOR SOIL COMPACTION DUE TO WHEEL TRAFFIC IN SAMARU – ZARIA.
Publication Date : 01/08/2017
A prediction model using the least square criterion of regression technique was developed to predict soil compaction under tractor wheels. The two soil parameters of moisture content and bulk density used in the model development were observed in the calibration test of the field soil through pressure gauge measurement approach. Evaluation of the developed model showed that the model coefficient of efficiency is 0.86 while its consistency as indicated in the value of sum of residuals is 18.67. The unbiased of the model is shown in the value of the accuracy as 1.23 MPa and an assessment of error of the predicted values related to measured values of the soil compaction is indicated in the value of mean square prediction error as 1.56.
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