Abstract

Prediction of a precise subsoiling using an analytical model (AM) and Discrete Element Method (DEM) was conducted to explain cutting forces and the soil profile induced changes by a subsoiler. Although sensors, AMs and DEM exist, there are still cases of soil structure deformation during deep tillage. Therefore, this study aimed to provide a clear understanding of the deep tillage using prediction models. Experimental data obtained in the soil bin trolley with force sensors were used for verification of the models. Experiments were designed using Taguchi method. In the AM, the modified-McKyes and Willat and Willis equations were used to determine cutting forces and soil furrow profile respectively. Calculations were done using MATLAB software. The elastoplastic behavior of soil was incorporated into the DEM. The DEM predicted results with the best regression of 0.984 R^{2} at a NRMSE of 1.936 while the AM had the lowest R^{2} of 0.957, at a NRMSE of 6.008. All regression results were obtained at p < 0.05. The ANOVA test showed that the p-values for the horizontal and vertical forces were 0.9396 and 0.9696, respectively. The DEM predicted better than the AM. DEM is easy to use and is effective in developing models for precision subsoiling.

Highlights

  • Prediction of a precise subsoiling using an analytical model (AM) and Discrete Element Method (DEM) was conducted to explain cutting forces and the soil profile induced changes by a subsoiler

  • This study aims to provide the base for improving deep tillage performance, structure, and working parameters of the non-inversion tool in cohesive soils

  • The results showed a close relationship between the numerical and experimental values, with the relative errors of the predicted results being 4.44 and 4.01% for horizontal and vertical forces

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Summary

Introduction

Prediction of a precise subsoiling using an analytical model (AM) and Discrete Element Method (DEM) was conducted to explain cutting forces and the soil profile induced changes by a subsoiler. It uses digital techniques to monitor and optimize agricultural production processes This brought up the need for smart agricultural machinery which are manufactured with so many sensors to acquire the precise data measured. It leads to high operation costs and sometimes low efficiency in precision control. Instead of applying an equal amount of cutting force during tillage operation in every field, precision tillage involves measuring the within-field soil strength variations and apply to the field a­ ccordingly[1]. Subsoil strength tends to be naturally high because of the above soil column’s weight and internal frictional ­forces[3] mostly caused by compacted soil due to agricultural ­mismanagement[4]

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