University of Tehran Press Iranian Journal of Biosystem Engineering 2008-4803 49 1 2018 03 21 Comparing some soil pressure sinkage models for choosing the best one to predict sinkage of metal plates in clay loam soil Comparing some soil pressure sinkage models for choosing the best one to predict sinkage of metal plates in clay loam soil 1 7 65618 10.22059/ijbse.2017.233967.664955 FA Ali Hajiahmad university of Tehran 0000-0001-5832-4559 Mohammad Ghoushchian mechanical Biosystems engineering 0009-0008-0110-7164 Rohallah Jalili agricultural machinery engineering deparment Journal Article 2017 07 18 Predicting the tire rolling resistance is an important issue in Agricultural Engineering, therefore, estimates it in different terms of vehicle performance is necessary. One of the rolling resistances predicting ways is to use models which are presented for pressure sinkage treatment of soil. In this study, the coefficient of each model has determined using MATLAB software, and then a comparison was made between them using two standards of correlation coefficient and root mean square error. The results showed that the Upadhyaya’s model with average Coefficient of determination of 0.9175 and average root mean square of 69.6211 has better accuracy in different moisture contents and bulk density. Also Gotteland and Benoit’s model with average Coefficient of determination of 0.7237 and average root mean square of 129.071 has less accuracy in predicting of sinkage value. Predicting the tire rolling resistance is an important issue in Agricultural Engineering, therefore, estimates it in different terms of vehicle performance is necessary. One of the rolling resistances predicting ways is to use models which are presented for pressure sinkage treatment of soil. In this study, the coefficient of each model has determined using MATLAB software, and then a comparison was made between them using two standards of correlation coefficient and root mean square error. The results showed that the Upadhyaya’s model with average Coefficient of determination of 0.9175 and average root mean square of 69.6211 has better accuracy in different moisture contents and bulk density. Also Gotteland and Benoit’s model with average Coefficient of determination of 0.7237 and average root mean square of 129.071 has less accuracy in predicting of sinkage value. https://ijbse.ut.ac.ir/article_65618_bbecf15cf7fb6133f4bf164accb73b84.pdf