Grain porosity compression test data set

A total of 200 data sets were obtained from the experiments and used to develop machine learning models. The input parameters studied include equivalent diameter, sphericity, grain type, moisture content, vertical pressure, and internal friction angle. From the dataset, it can be observed that the values of equivalent diameter varied from 3.079 mm to 8.110 mm, sphericity ranged from 0.356 to 0.981, and grain type is represented by the numbers 1 to 4 for soybean, maize, wheat, and paddy, respectively. Moisture content ranged from 9.570% to 23.410%, vertical pressure ranged from 0 kPa to 208.2 kPa, and the output values of porosity ranged from 0.371 to 0.532.