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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) TELKOMNIKA (Telecommunication Computing Electronics and Control)
Tossapol Jangnoi
Rajamangala University of Technology Isan
Computer Science & IT Engineering

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Three-position gearshifts remote control for agricultural tractors Thewin Sakunbunyong; Tossapol Jangnoi; Tanawat Chalardsakul; Viroch Sukontanakarn
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 2: April 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i2.26666

Abstract

This research presents the development and evaluation of a three-position gearshifts remote control system for agricultural tractors, designed to improve operational efficiency and reduce operator fatigue. The system utilizes a programmable logic controller to remotely control a linear actuator, enabling seamless gear shifting between three predetermined positions. The primary objective is to provide operators with a convenient, ergonomic alternative to traditional manual gear shifting, particularly in challenging or confined working environments. The system was tested under two conditions: first, with a programmable logic controller controlling the linear actuator via a remote transmitter; second, with the system installed on an actual tractor and tested in a road scenario. Results from both tests demonstrate the system’s effectiveness in enhancing ease of operation, reducing physical strain, and maintaining gearshifts precision. The findings suggest that the remote control system offers significant potential for improving tractor operation, particularly for tasks requiring frequent gear changes or when working in difficult terrain. This research contributes to the ongoing development of automation in agricultural machinery, offering insights into remote control applications and the integration of electromechanical systems in agricultural vehicles.
Intelligent object sorting system using Dobot Magician and computer vision Tossapol Jangnoi; Thewin Sakunboonyong; Viroch Sukontanakarn; Tanawat Chalardsakun
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i4.pp3352-3364

Abstract

This study aims to analyze the relationship between object color, shape, and count and the performance of a robotic object sorting system, measured by execution time and accuracy. The Dobot Magician robot was used for object manipulation, while computer vision based on object detection was implemented using Python and an open source computer vision library (OpenCV). Color and shape segmentation were performed using the hue, saturation, and value (HSV) color space and OpenCV library. Experimental results indicate that three shapes (circle, triangle, and square) and four colors (green, red, blue, and yellow) affect picking time and accuracy differently. Squares generally required the longest time to pick, while triangles often had the shortest times across various colors. Accuracy remained consistently high across all colors and shapes, with green and yellow objects showing slightly higher average accuracy. These findings provide valuable insights into the factors influencing the performance of automated robotic grasping systems, which can be applied to optimize robot design and improve the efficiency and precision of object sorting tasks.
Co-Authors Tanawat Chalardsakul Tanawat Chalardsakun Thewin Sakunboonyong Thewin Sakunbunyong Viroch Sukontanakarn