Volume : 12, Issue : 4, APR 2026

DESIGN AND DEVELOPMENT OF SOLAR POWERED MULTI PURPOSE FARMING SYSTEM

DR. K PRAVEENA*, P VARSHAVARDHANI, T HIMAVANTH, B PENTAMMA, B UDAYKIRAN

Abstract

This paper presents the design and development of a solar-powered multi-purpose farming system aimed at improving agricultural efficiency through automation and renewable energy utilization. The proposed system integrates an Arduino Mega-based control unit with multiple sensors, including LIDAR, ultrasonic, and soil moisture sensors, to enable autonomous navigation, obstacle detection, and real-time monitoring. The robot performs key agricultural operations such as irrigation, seed sowing, fertilizer dispensing, and grass cutting with minimal human intervention. A solar power generation and storage system ensures sustainable and cost-effective energy supply. The system operates in both manual and automatic modes, offering flexibility to farmers. Experimental results demonstrate improved resource utilization, reduced labor dependency, and enhanced operational efficiency. The proposed system provides a practical and economical solution for modern smart agriculture.

Article : Download PDF

Cite This Article

IESRJ

International Educational Scientific Research Journal

E-ISSN: 2455-295X

International Indexed Journal | Multi-Disciplinary Refereed Research Journal

ISSN: 2455-295X

Peer-Reviewed Journal - Equivalent to UGC Approved Journal

Peer-Reviewed Journal

Article No : 11

Number of Downloads : 36

References

1. R. K. Rajput and S. Dubey, “Smart agriculture system using IoT technology,” International Journal of Engineering Research & Technology (IJERT), vol. 9, no. 5, pp. 123–127, 2020.

2. M. S. Balli and P. Prakash, “Automation in agriculture using robotics and IoT,” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 8, no. 4, pp. 1456–1462, 2019.

3. K. Ashton, “That ‘Internet of Things’ thing,” RFID Journal, 2009.

4. J. Bakker, K. van Asselt, and J. Bontsema, “Autonomous navigation using a vision system for agricultural robots,” Biosystems Engineering, vol. 104, no. 4, pp. 514–527, 2009.

5. S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics. Cambridge, MA, USA: MIT Press, 2005.

6. N. Kim, R. Evans, and W. Iversen, “Remote sensing and control of an irrigation system using a distributed wireless sensor network,” IEEE Transactions on Instrumentation and Measurement, vol. 57, no. 7, pp. 1379–1387, 2008.

7. D. Zhang, G. Li, K. Zheng, X. Ming, and Z. Pan, “An energy-balanced routing method based on forward-aware factor for wireless sensor networks,” IEEE Transactions on Industrial Informatics, vol. 10, no. 1, pp. 766–773, 2014.

8. T. Markvart and L. Castañer, Practical Handbook of Photovoltaics: Fundamentals and Applications. Oxford, U.K.: Elsevier, 2003.

9. 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.

10. A. Bechar and C. Vigneault, “Agricultural robots for field operations: Concepts and components,” Biosystems Engineering, vol. 149, pp. 94–111, 2016