IOTBASED SOLAR POWERED GRASS CUTTING ROBOT WITH AUTOMATIC OBSTACLE AVOIDANCE

The advancement in automation and renewable energy technologies has led to the development of smart systems for agricultural and domestic applications. This paper presents the design and implementation of an IoT-based solar powered grass cutting robot with automatic obstacle avoidance. The system uses solar energy as the primary power source, reducing dependency on conventional electricity and minimizing environmental impact. An Arduino Uno microcontroller is used to control the robot's operations. Ultrasonic sensors are employed for obstacle detection and navigation. IoT integration enables remote monitoring and control of the system. The proposed system reduces human effort, improves efficiency, and ensures safe operation. Experimental results demonstrate reliable performance and energy efficiency, making the system suitable for small-scale lawn maintenance.

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Publication Details

Journal
JOURNAL OF ADVANCE AND FUTURE RESEARCH
Published
2026-03-01
DOI
https://doi.org/10.56975/jaafr.v4i3.505432
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

IOTBASED SOLAR POWERED GRASS CUTTING ROBOT WITH AUTOMATIC OBSTACLE AVOIDANCE

Anand Kumar K, John Paul J., Balaji G.T, Barath K.V
JOURNAL OF ADVANCE AND FUTURE RESEARCH
Smart Agriculture and AI
article

IOTBASED SOLAR POWERED GRASS CUTTING ROBOT WITH AUTOMATIC OBSTACLE AVOIDANCE

Anand Kumar K, John Paul J., Balaji G.T, Barath K.V
article en

Abstract

The advancement in automation and renewable energy technologies has led to the development of smart systems for agricultural and domestic applications. This paper presents the design and implementation of an IoT-based solar powered grass cutting robot with automatic obstacle avoidance. The system uses solar energy as the primary power source, reducing dependency on conventional electricity and minimizing environmental impact. An Arduino Uno microcontroller is used to control the robot's operations. Ultrasonic sensors are employed for obstacle detection and navigation. IoT integration enables remote monitoring and control of the system. The proposed system reduces human effort, improves efficiency, and ensures safe operation. Experimental results demonstrate reliable performance and energy efficiency, making the system suitable for small-scale lawn maintenance.

JOURNAL OF ADVANCE AND FUTURE RESEARCHVol. 4(3)
Ramakrishna Mission Vidyamandira (IN)
Affordable and clean energy
Openalex Percentile: Top 7%
Smart Agriculture and AI
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IOTBASED SOLAR POWERED GRASS CUTTING ROBOT WITH AUTOMATIC OBSTACLE AVOIDANCE — Anand Kumar K, John Paul J., et al. · JOURNAL OF ADVANCE AND FUTURE RESEARCH (2026) | TGRS Research Map | TGRS