Predicting 3D forces of disc tool and soil disturbance area using fuzzy logic model under sensor based soil-bin

Authors

  • Farman Ali Chandio 1. School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2. Department of Farm Power and Machinery, Faculty of Agricultural Engineering, Sindh Agriculture University, Tandojam, 70060 Sindh, Pakistan
  • Yaoming Li 1. School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
  • Lizhang Xu 1. School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
  • Zheng Ma 1. School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
  • Fiaz Ahmad 1. School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 3. Department of Agricultural Engineering, Bahauddin Zakariya University, Multan 60800, Pakistan
  • Do Minh Cuong 4. University of Agriculture and Forestry, Hue University, Hue 54000, Vietnam
  • Imran Ali Lakhiar 1. School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China

Keywords:

disc tillage tool, ANN fuzzy model, 3D forces, sensor, soil bin, soil disturbance area

Abstract

A knowledge-based fuzzy logic model was developed on experimental data and used to predict the draft, side and vertical forces and soil disturbance area by disc tillage tool operation. The laboratory research work was conducted to evaluate the performance of the disc tool at three working speeds (1.25 m/s, 1.98 m/s and 2.47 m/s, respectively) and depths (0-5 cm, 5-10 cm and 10-15 cm, respectively) on paddy soil under soil-bin environment. Further, draft (Fx), side (Fz) and vertical (Fy) forces of disc and soil disturbance area were assessed and predicted towards working speeds and depths. A fuzzy prediction model with two input variables (speed and depth) and four output variables was developed and the Mamdani inference approach was used. Draft, side and vertical forces of disc and soil disturbance area were positively responded 0.97, 0.95 and 0.84 and 0.99, respectively. The prediction results showed a close relationship between measured and predicted data. Similarly, the measured and predicted results revealed that the draft, side, vertical forces, and soil disturbance area slightly increased, while increasing the speed and depth of the disc tool. Furthermore, disc forces and soil disturbed area were highly significant (p<0.05) for higher speed towards depth. It was concluded that the fuzzy model may be introduced for predicting the disc forces and soil disturbance area during the disc tillage tool operation with high accuracy. Keywords: disc tillage tool, ANN fuzzy model, 3D forces, sensor, soil bin, soil disturbance area DOI: 10.25165/j.ijabe.20201304.5115 Citation: Chandio F A, Li Y M, Xu L Z, Ma Z, Ahmad F, Cuong D M, et al. Predicting 3D forces of disc tool and soil disturbance area using fuzzy logic model under sensor based soil-bin. Int J Agric & Biol Eng, 2020; 13(4): 77–84.

Author Biographies

Farman Ali Chandio, 1. School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2. Department of Farm Power and Machinery, Faculty of Agricultural Engineering, Sindh Agriculture University, Tandojam, 70060 Sindh, Pakistan

Post-doc fellow Jiangsu University, School of Agricultural Equipment Engineering, Zhenjiang, Jiangsu, China.

Yaoming Li, 1. School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China

Professor, Jiangsu University, School of Agricultural Equipment Engineering, Zhenjiang, Jiangsu, China

Lizhang Xu, 1. School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China

Professor, Jiangsu University, School of Agricultural Equipment Engineering, Zhenjiang, Jiangsu, China

Zheng Ma, 1. School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China

Associate Professor, Jiangsu University, School of Agricultural Equipment Engineering, Zhenjiang, Jiangsu, China

Fiaz Ahmad, 1. School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 3. Department of Agricultural Engineering, Bahauddin Zakariya University, Multan 60800, Pakistan

Assistant Professor, Department of Agricultural Engineering, Faculty of Agriculture Science and Technology, Bahauddin Zakariya University, Multan, Pakistan

Do Minh Cuong, 4. University of Agriculture and Forestry, Hue University, Hue 54000, Vietnam

Assistant Professor, College of Agriculture and Forestry, Hue University, Vietnam

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Published

2020-08-07

How to Cite

Chandio, F. A., Li, Y., Xu, L., Ma, Z., Ahmad, F., Cuong, D. M., & Lakhiar, I. A. (2020). Predicting 3D forces of disc tool and soil disturbance area using fuzzy logic model under sensor based soil-bin. International Journal of Agricultural and Biological Engineering, 13(4), 77–84. Retrieved from https://ijabe.migration.pkpps06.publicknowledgeproject.org/index.php/ijabe/article/view/5115

Issue

Vol. 13 No. 4 (2020): IJABE

Section

Power and Machinery Systems

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