International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Smart AI and IOT Based Grass Maintenance System |
|---|---|
| ABSTRACT | The significance of lawn maintenance cannot be overlooked, as a well-maintained lawn greatly enhances the aesthetic appeal of residential spaces. Regular care is essential to ensure healthy and uniformly grown grass. This study examines recent technological advancements aimed at developing lawn mowing systems that are both efficient and economical. A lawn mower is a mechanical device designed to trim grass to a consistent height and can be operated manually or powered using various energy sources such as batteries or solar energy. Typically, these systems utilize electric motors, DC motors, or internal combustion engines for operation. In the proposed work, a conventional lawn mower design is improved to enhance usability and convenience. The structure is redesigned to be compact and lightweight, making it easier to maneuver. Additionally, an adjustable blade height mechanism is incorporated to enable effective grass cutting even in confined or uneven areas. |
| AUTHOR | KAVYA G P, SANJANA B R, SURABHI H L, SANJANA M ACHAR Dept. of Information Science & Engineering, Jain Institute of Technology, Davanagere, VTU, Karnataka, India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401022 |
| pdf/22_Smart AI and IOT Based Grass Maintenance System.pdf | |
| KEYWORDS | |
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