Paper Title
Remote Controlled Lawn mower
Article Identifiers
: Keywords
Remote Controlled Lawn Mower, Robotics, Artificial Intelligence, Sustainability, Lawn Maintenance, agricultural practices, innovative technologies, remote control capabilities, sensors, communication interface, obstacle detection mechanisms, real-time feedback, Eco-friendly alternative, artificial intelligence, adaptation to varying terrains, resource efficiency, design analysis.
Abstract
In the realm of modern landscaping and agricultural practices, the integration of innovative technologies has become imperative for efficiency and sustainability. This paper presents a comprehensive exploration of our major project — the Remote Controlled Lawn Mower. Our Remote Controlled Lawn Mower is a cutting-edge solution designed to revolutionize traditional lawn maintenance methodologies. Fusing advanced robotics with remote control capabilities, this autonomous mower is poised to redefine the way we approach lawn care. The system is equipped with state-of-the-art sensors and a robust communication interface, allowing users to effortlessly control and monitor the mower's operations remotely. This not only enhances user convenience but also contributes to a more streamlined and precise mowing process. Key features include obstacle detection mechanisms, real-time feedback, and a sustainable power system, making our Remote Controlled Lawn Mower an eco-friendly alternative to conventional mowers. The integration of artificial intelligence enables the mower to adapt to varying terrains and conditions, ensuring optimal performance and consistent results. Beyond its technical prowess, this project addresses the broader ecological impact of lawn maintenance. By minimizing human intervention and utilizing intelligent navigation, our Remote Controlled Lawn Mower promotes resource efficiency and reduces environmental footprint. Through this paper, we present a detailed analysis of the design, functionality, and performance metrics of our Remote Controlled Lawn Mower. We believe that this innovation holds significant potential to transform the landscape management industry, contributing to both efficiency and environmental sustainability.
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How To Cite (APA)
Siddhant Mangade, Om Bhamare, Manan Jotangia, Raunak Gupta, & Prajakta Pawar (April-2024). Remote Controlled Lawn mower. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), f436-f442. https://ijnrd.org/papers/IJNRD2404554.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : f436-f442
Other Publication Details
Paper Reg. ID: IJNRD_219167
Published Paper Id: IJNRD2404554
Downloads: 000122008
Research Area: Electronics & Communication Engg.Â
Author Type: Indian Author
Country: Mumbai, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404554.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404554
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