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 |
E-Krishi: Enhanced Crop Production Through Machine Learning Using Water, Soil and Weather as Features Gurmeet Jandoo, Pranjal Kumar, Weona Lazarus, Dr. Ganesh Pathak U.G. Student, Department of Computer Science and Engineering, MIT School of Engineering, MIT ADT University, Loni Kalbhor, Pune, India Faculty, Department of Computer Science and Engineering, MIT School of Engineering, MIT ADT University, Loni Kalbhor, Pune, India DOI: 10.15680/IJIRCCE.2024.1205293 |
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| pdf/6Lcf3zLWry0z13oZi3RLxodPYkXB8beeN8c1ubu4.pdf |
