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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM43479

Research Paper on Solar Based Automated Grass Cutter Robot

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43479

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM43479

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Ak

Ayush kottalwar

NN

Nikhil Nakshane

AK

Akash Kadukar

HWMAK

Himansh WasnikDr. Mrs. A.R. Kondelwar

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Abstract

This research presents the development of an solar based automated Grass Cutter robot utilizing Arduino Uno, aimed at enhancing lawn maintenance through automation, safety, and efficiency. The system integrates an ultrasonic sensor for obstacle detection, a servo motor for steering, and a stopper switch as a critical safety mechanism. By continuously monitoring sensor inputs, the Arduino Uno controls movement and cutting functions, ensuring precise operation while minimizing risks. The autonomous grass cutter adapts to environmental conditions, avoiding obstacles and preventing unintended operation in hazardous situations. Experimental validation demonstrates the system’s effectiveness in providing a safe and efficient grass-cutting solution. This research contributes to the advancement of autonomous lawn maintenance technology, with potential for further enhancements through additional sensors and AI-based navigation. Future developments in automation and safety features can further optimize performance, making autonomous grass-cutting solutions more adaptable and sustainable for various applications.

KEYWORDS

Lawn Automation Solar Grass Cutter Microcontroller Motor Solar Panel Battery.

Cite This Article

Ayush kottalwar, Nikhil Nakshane, Akash Kadukar, Himansh WasnikDr. Mrs. A.R. Kondelwar, "Research Paper on Solar Based Automated Grass Cutter Robot," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM43479

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Publication Date

1/3/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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The authors declare no conflict of interest related to this research work.

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