Solar Grass Cutter

This paper presents the development of an autonomous Solar Grass Cutter, incorporating both an ADXL accelerometer and ultrasonic sensors for enhanced navigation, safety, and efficiency. The system operates entirely on solar power, contributing to eco-friendly and sustainable lawn maintenance. The ADXL accelerometer is used for monitoring the mower's orientation and detecting tilting, while the ultrasonic sensors are employed for obstacle detection and distance measurement. These sensors enable the grass cutter to autonomously navigate around obstacles, avoid collisions, and ensure smooth operation across varying terrains. The integration of the ultrasonic sensors provides real-time data on the proximity of objects in the mower’s path, allowing it to adjust its movement accordingly and prevent damage. The microcontroller processes inputs from both the ADXL and ultrasonic sensors to control the mower’s motors and optimize energy usage. Additionally, the solar panel efficiently charges the system, ensuring continuous operation without the need for external power sources. Experimental results demonstrate that the system is capable of efficient lawn care with effective obstacle avoidance, precise path planning, and safe operation. This solar-powered, sensor-driven grass cutter offers a promising solution for environmentally conscious, autonomous landscaping.

Authors

Institutions

Publication Details

Journal
International Research Journal on Advanced Engineering Hub (IRJAEH)
Published
2025-04-18
DOI
https://doi.org/10.47392/irjaeh.2025.0201
Primary Topic
Forest Biomass Utilization and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Solar Grass Cutter

Mohammed Ammar, Arshad parwesh, Selvamani, Ganesan
International Research Journal on Advanced Engineering Hub (IRJAEH)
Forest Biomass Utilization and Management
article

Solar Grass Cutter

Mohammed Ammar, Arshad parwesh, Selvamani, Ganesan
article en

Abstract

This paper presents the development of an autonomous Solar Grass Cutter, incorporating both an ADXL accelerometer and ultrasonic sensors for enhanced navigation, safety, and efficiency. The system operates entirely on solar power, contributing to eco-friendly and sustainable lawn maintenance. The ADXL accelerometer is used for monitoring the mower's orientation and detecting tilting, while the ultrasonic sensors are employed for obstacle detection and distance measurement. These sensors enable the grass cutter to autonomously navigate around obstacles, avoid collisions, and ensure smooth operation across varying terrains. The integration of the ultrasonic sensors provides real-time data on the proximity of objects in the mower’s path, allowing it to adjust its movement accordingly and prevent damage. The microcontroller processes inputs from both the ADXL and ultrasonic sensors to control the mower’s motors and optimize energy usage. Additionally, the solar panel efficiently charges the system, ensuring continuous operation without the need for external power sources. Experimental results demonstrate that the system is capable of efficient lawn care with effective obstacle avoidance, precise path planning, and safe operation. This solar-powered, sensor-driven grass cutter offers a promising solution for environmentally conscious, autonomous landscaping.

International Research Journal on Advanced Engineering Hub (IRJAEH)Vol. 3(04)
Kamdhenu University (IN)
Openalex Percentile: Top 89%
Forest Biomass Utilization and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Solar Grass Cutter — Mohammed Ammar, Arshad parwesh, et al. · International Research Journal on Advanced Engineering Hub (IRJAEH) (2025) | TGRS Research Map | TGRS