Solar Powered Autonomous Lawn Mower using Machine Learning
Keywords:
Autonomous lawn mower, Internet of Things (IoT), Machine learning, Solar powered, Wireless sensorsAbstract
The evolution of automation and the growing emphasis on environmental sustainability have created significant opportunities for innovation in lawn maintenance systems. This paper focuses on the development of a Solar Powered Autonomous Lawn Mower integrated with Machine Learning (ML), aimed at delivering a self-sustaining and intelligent solution for efficient lawn care. Traditional lawn mowers require manual operation and are often powered by fossil fuels or conventional electricity, contributing to both labor intensity and environmental degradation. In contrast, the proposed system addresses these limitations by combining renewable energy utilization and advanced computational techniques to create a smart, energy-efficient, and autonomous mowing platform.
References
R. P. K and N. Patel, “Autonomous Lawn Mower – A Comprehensive Review,” International Research Journal on Advanced Science Hub, vol. 5, no. 12, pp. 420–428, Dec. 2023, doi: https://doi.org/10.47392/irjash.2023.079.
K. Helenprabha, R. N. Amarnath, N. Mohankumar, and B. Gopi, “IoT-Enabled Reinforcement Learning for Autonomous Robotic Lawn Mowers in Residential Gardens,”: 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), pp. 674–679, Feb. 2025, doi: https://doi.org/10.1109/idciot64235.2025.10915139.
M. Saidani, S. Pan, H. Kim, J. Wattonville, “Comparative life cycle assessment and costing of an autonomous lawn mowing system with human-operated alternatives: implication for sustainable design improvements,” International Journal of Sustainable Engineering, vol. 14, no. 4, pp. 704–724, Apr. 2021, doi: https://doi.org/10.1080/19397038.2021.1919785.
R. Lea, “Autonomous robot swarms come together to perform a variety of missions - Advanced Science News,” Advanced Science News, Nov. 19, 2024. https://www.advancedsciencenews.com/autonomous-robot-swarms-come-together-to-perform-a-variety-of-missions/
J. S. McElroy, M. Strickland, L. Ramon, S. Magni, and M. Volterrani, “Robotic mowing technology in turfgrass management: Past, present, and future,” Crop Science, vol. 65, no. 3, May 2025, doi: https://doi.org/10.1002/csc2.70081.
Y. B. Mane., S. D. Mane, S. S. Kale, “Development of Solar Operated Multipurpose Machine for Grass Cutting and Water Sprinkling,” Journals of Mechatronics Machine Design and Manufacturing, vol. 7, no. 2, pp. 11–17, 2025, Accessed: Aug. 13, 2025. Available: https://matjournals.net/engineering/index.php/JMMDM/article/view/2180
A. Hassan., H. Abdullah, U. Farooq, A. Shahzad, “A Wirelessly Controlled Robot-based Smart Irrigation System by Exploiting Arduino,” Journal of Robotics and Control (JRC), vol. 2, no. 1, 2020, doi: https://doi.org/10.18196/jrc.2148.
Y. Chen, Z.-M. Lu, J.-L. Cui, H. Luo, and Y.-M. Zheng, “A Complete Coverage Path Planning Algorithm for Lawn Mowing Robots Based on Deep Reinforcement Learning,” Sensors, vol. 25, no. 2, pp. 416–416, Jan. 2025, doi: https://doi.org/10.3390/s25020416.
M. Shradha, “Smart Hybrid Fully Automatic Solar Grass Cutter,” International Journal for Multidisciplinary Research (IJFMR), vol. 5, no. 3, 2023. Available: https://pdfs.semanticscholar.org/f7c4/c2a0af45dbf12efa9de757be6d5345c49030.pdf
B. Siregar, B. M. Hutagaol, and O. Salim Sitompul, “Smartphone-Controllable Lawn Mower Robot,” 2020 International Conference on ICT for Smart Society (ICISS), Nov. 01, 2020. https://ieeexplore.ieee.org/document/9307574
J. Arshad, “Intelligent greenhouse monitoring and control scheme: An arrangement of Sensors, Raspberry Pi based Embedded System and IoT platform,” Indian Journal of Science and Technology, vol. 13, no. 27, pp. 2811–2822, Jul. 2020, doi: https://doi.org/10.17485/ijst/v13i27.311.
