[PDF][PDF] Smart Computing Techniques for Predicting Soil Compaction Criteria under Realistic Field Conditions
The primary objective of this paper was to develop an artificial neural network (ANN)
simulation environment and mathematical models for predicting with high accuracy soil
compression parameters. The experiments were conducted at the College of Agriculture-
University of Basra, located at Garmat Ali, the soil was silty clay loam. The factors that were
investigated are moisture content (14 and 24%), tillage depths (0, 15, 30, 45, and 50 cm)
forward speeds (0.57, 0.94, and 1.34 ms-1) and tire pressures (50, 100, and 150 kPa). ANN …
simulation environment and mathematical models for predicting with high accuracy soil
compression parameters. The experiments were conducted at the College of Agriculture-
University of Basra, located at Garmat Ali, the soil was silty clay loam. The factors that were
investigated are moisture content (14 and 24%), tillage depths (0, 15, 30, 45, and 50 cm)
forward speeds (0.57, 0.94, and 1.34 ms-1) and tire pressures (50, 100, and 150 kPa). ANN …
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