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Automatic Agriculture Robot

Authors

Ratnamala.S. Patil

Assistant professor, Department of Electronics and Communication Engineering, Sharnbasava University, Kalaburgi, Karnataka, India. (IN)

Bhageshree

Student, Department of Electronics and communication Engineering Sharnbasava University, alaburgi, Karnataka, India (IN)

Bhavani.E

Student, Department of Electronics and communication Engineering Sharnbasava University, alaburgi, Karnataka, India (IN)

Bhagyavanti

Student, Department of Electronics and communication Engineering Sharnbasava University, alaburgi, Karnataka, India (IN)

Praveena

Student, Department of Electronics and communication Engineering Sharnbasava University, alaburgi, Karnataka, India (IN)

Article Information

DOI: 10.51583/IJLTEMAS.2026.150600072

Subject Category: Agriculture

Volume/Issue: 15/6 | Page No: 1025-1034

Publication Timeline

Submitted: 2026-07-07

Published: 2026-07-06

Abstract

The sector is also facing increased demands from the availability of labor to inefficient resource utilization. This project presents a self-guiding IoT-powered robot for irrigating crops. It utilizes with help the mobile robot frame and its control via the Arduino framework. The decision-making mechanism in the system enables automated irrigation based on soil condition, and the ultrasonic sensors provide collision detection for obstacle avoidance when moving through the farm.


Environmental information transmits wirelessly and allows the farmer to monitor the field from anywhere. Experiments under the controlled agricultural environment revealed that the robot operates effectively, with accuracy of soil moisture measurement above 92%, and there is up to a 28% traditionalmethods.


This project provides a low-cost approach for adopting precision agriculture techniques, particularly suitable for small to medium-sized farms. Future developments can focus on using machine learning algorithms to predict plant health and GPS for navigation.

Keywords

Automatic Agriculture Robot, Precision Agriculture, Smart Irrigation, Internet of Things (IoT), Soil Moisture Monitoring, Autonomous Navigation, Embedded Systems

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References

1. R. Bechar and C. Vigneault, “Agricultural robots for field operations: Concepts and components,” Biosystems Engineering, vol. 149, pp. 94–111, 2016. [Google Scholar] [Crossref]

2. J. Zhang, Q. Wang, and X. Zhao, “Development of an autonomous agricultural robot for precision farming,” International Journal of Advanced Robotic Systems, vol. 14, no. 4, pp. 1–12, 2017. [Google Scholar] [Crossref]

3. S. R. Nandurkar, V. R. Thool, and R. C. Thool, “Design and development of precision agriculture system using wireless sensor network,” IEEE International Conference on Automation, Control, Energy and Systems (ACES), pp. 1–6, 2014. [Google Scholar] [Crossref]

4. V. V. Kale and S. V. Khandare, “Automated irrigation system using wireless sensor network and GSM module,” International Journal of Engineering Research and Applications, vol. 6, no. 6, pp. 45–49, 2016 [Google Scholar] [Crossref]

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