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) |


papers

Rice Leaf Disease Detection Using Machine Learning  

Ms.Vangara Vijaya Durga, Goddalla Sravani, Mahankali Mohana Subrahmanya Sai Ram, Kondapaneni Sai Krishna, Mudragadda Hema Sri

Assistant Professor, Department of Computer Science and Engineering, SRK Institute of Technology, Vijayawada, Andhra Pradesh, India  

Students, Department of Computer Science and Engineering, SRK Institute of Technology, Vijayawada, Andhra Pradesh, India

DOI: 10.15680/IJIRCCE.2024.1205044
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