Evaluation of Tractor Field Performance Using Visual Basics Programming for Agricultural Farm Lands

Authors

  • Yared Seifu Department of Mechanical Engineering, Adama Science and Technology University, Adama, Ethiopia
  • Someshakher S Hiremath Department of Mechanical Engineering. Indian Institute of Technology Madras University Chennai, India
  • Simie Tola Department of Mechanical Engineering, Adama science and technology university, Adama, Ethiopia
  • Amana Wako Department of Mechanical Engineering, Adama science and technology university, Adama, Ethiopia

DOI:

https://doi.org/10.54536/ajaset.v7i1.1132

Keywords:

Drawbar Performance, Field Performance, Implement Performance, Traction force, Tractor, Visual Basics

Abstract

The purpose of this research was to developed a program in visual basic software for predicting tractor implement performance of tractor implement combination. A conventional tillage system with a mounted mouldboard plough and three bottoms was used to collect data from a Chery tractor (Model RM750) with a four-wheel drive. The soil texture class were determined in laboratory. Soil cone index value was measured using a SpotOn digital compaction meter. The output of the visual basics simulation in this study was obtained by varying the depth of operation and soil cone index for an experimental farm field. From the simulation output the results this study covers of drawbar power, implement draft, pull, tractive force, fuel consumption, slip, power delivery efficiency, dynamic weight and wheel dynamic reactions were drawn by varying depth and soil cone index value.

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References

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Published

2023-02-16

How to Cite

Seifu, Y., Hiremath, S. S., Tola, S., & Wako, A. (2023). Evaluation of Tractor Field Performance Using Visual Basics Programming for Agricultural Farm Lands . American Journal of Agricultural Science, Engineering, and Technology, 7(1), 53–59. https://doi.org/10.54536/ajaset.v7i1.1132

Issue

Vol. 7 No. 1 (2023): American Journal of Agricultural Science, Engineering, and Technology

Section

Research Articles

License

Copyright (c) 2023 Yared Seifu, Simie Tola, Amana Wako

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.