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 | Manual & Semi-Autonomous Weed Identification Robot |
|---|---|
| ABSTRACT | The persistence of weeds remains one of the most taxing challenges in modern agriculture, as these invasive plants aggressively compete with crops for sunlight, water, and vital soil nutrients. Unlike traditional methods that rely on back-breaking labour or environmentally damaging chemicals, our system identifies weeds in real-time and neutralizes them using a precision motorized cutting blade. |
| AUTHOR | J.SAI PUJITHA, A.DEVI, P. LAKSHMI DURGA, S.KUMAR, Y.R.K.PARAMAHAMSA U.G. Student, Department of ECE, SVIET Engineering College, Nandamuru, Pedana, Andhra Pradesh, India Assistant Professor, Department of ECE, SVIET Engineering College, Nandamuru, Pedana, Andhra Pradesh, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403112 |
| pdf/112_Manual & Semi-Autonomous Weed Identification Robot.pdf | |
| KEYWORDS | |
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