Arduino Based Smart Solar Mower

Authors

  • Virendra Swaroop Sangtani Associate Professor, Department of Electrical Engineering, Swami Keshvan and Institute of Technology, Management & Gramothan, Jaipur, INDIA
  • Krati Lakhani Student, Department of Electrical Engineering, Swami Keshvan and Institute of Technology, Management & Gramothan, Jaipur, INDIA
  • Kartik Soni Student, Department of Electrical Engineering, Swami Keshvan and Institute of Technology, Management & Gramothan, Jaipur, INDIA
  • Kanishk Pratap Singh Rathore Student, Department of Electrical Engineering, Swami Keshvan and Institute of Technology, Management & Gramothan, Jaipur, INDIA
  • Dushyant Kalodia Student, Department of Electrical Engineering, Swami Keshvan and Institute of Technology, Management & Gramothan, Jaipur, INDIA
  • Karan Vashishth Student, Department of Electrical Engineering, Swami Keshvan and Institute of Technology, Management & Gramothan, Jaipur, INDIA

DOI:

https://doi.org/10.5281/zenodo.11081748

Keywords:

Arduino-Based, Ultrasonic Sensor, Obstacle Detection

Abstract

This study recommends an Arduino-based smart solar grass cutter to increase user productivity and accessibility. This paper presents the Smart Solar Grass Cutter’s algorithm, scope, aims, applications and benefits. Grass Cutter industry heavily relies on manually operated grass cutters. However, in addition to using a significant amount of energy and contributing to air pollution, manually operated grass cutters also produce a significant amount of noise and vibration. Arduino based smart solar grass cutter is an intelligent automated grass cutter with ultrasonic sensors for obstacle detection.

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Published

2024-04-29

How to Cite

Virendra Swaroop Sangtani, Krati Lakhani, Kartik Soni, Kanishk Pratap Singh Rathore, Dushyant Kalodia, & Karan Vashishth. (2024). Arduino Based Smart Solar Mower. International Journal of Engineering and Management Research, 14(2), 111–116. https://doi.org/10.5281/zenodo.11081748

Issue

Vol. 14 No. 2 (2024): April Issue

Section

Articles

License

Copyright (c) 2024 Virendra Swaroop Sangtani, Krati Lakhani, Kartik Soni, Kanishk Pratap Singh Rathore, Dushyant Kalodia, Karan Vashishth

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.