Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This paper details the design and development of an automated solar-powered lawn mower that incorporates advanced navigation and sustainable energy technologies. The mower is equipped with a solar panel featuring a tracking system, and obstacle avoidance sensors. To overcome positioning challenges in obstructed urban environments, a Differential GPS and IMU fusion system is employed, utilizing a Kalman filter to enhance accuracy. The design process follows customer-centric methodologies, including Kano Model assessment, Quality Function Deployment, and Function Structure analysis, which inform material selection and manufacturing decisions. The hardware consists of power, sensing, control, driver, and interaction modules, while the control software, developed using Keil, facilitates seamless automation. Experimental validation confirms the mower's effectiveness as a cost-efficient, reliable, and autonomous solution for urban lawn maintenance.
Keywords:
Cite Article:
"Automatic Lawn Mower", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a755-a759, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504095.pdf
Downloads:
000390
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator