Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31814
Multipurpose Agricultural Robot Platform: Conceptual Design of Control System Software for Autonomous Driving and Agricultural Operations Using Programmable Logic Controller

Authors: P. Abhishesh, B. S. Ryuh, Y. S. Oh, H. J. Moon, R. Akanksha


This paper discusses about the conceptual design and development of the control system software using Programmable logic controller (PLC) for autonomous driving and agricultural operations of Multipurpose Agricultural Robot Platform (MARP). Based on given initial conditions by field analysis and desired agricultural operations, the structural design development of MARP is done using modelling and analysis tool. PLC, being robust and easy to use, has been used to design the autonomous control system of robot platform for desired parameters. The robot is capable of performing autonomous driving and three automatic agricultural operations, viz. hilling, mulching, and sowing of seeds in the respective order. The input received from various sensors on the field is later transmitted to the controller via ZigBee network to make the changes in the control program to get desired field output. The research is conducted to provide assistance to farmers by reducing labor hours for agricultural activities by implementing automation. This study will provide an alternative to the existing systems with machineries attached behind tractors and rigorous manual operations on agricultural field at effective cost.

Keywords: Agricultural operations, autonomous driving, MARP, PLC.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1923


[1] William C.Norris. “Responding to the Technological Challenges of Small-Scale Agriculture,” in Proceedings of the Special Symposium of Research for Small Farms, Maryland, 1981, pp. 293-300.
[2] Jin-Mo Kim. (2009, Sep.). “Challenges in Public Agricultural Extension of Korea” Journal of International Agricultural and Extension Education. Vol. 16, Issue 3. pp. 33-46, September 2009.
[3] A. Dhivya, J. Infanta and K. Chakrapani. (2012). “Automated Agricultural Process Using PLC and ZigBee” Journal of Artificial Intelligence. Vol. 5, Issue 4. pp. 170-177, 2012.
[4] US Roads. "Study Compares Older and Younger Pedestrian Walking Speeds". Road Engineering Journal. October1, 1997, TranSafety, Inc.
[5] Prof. Burali Y. N. “PLC Based Industrial Crane Automation & Monitoring”. International Journal of Engineering and Science. Vol. 1, Issue 3. pp. 01-04, Sept 2012.