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 | Implementation Paper on AI-Based Plant Disease |
|---|---|
| ABSTRACT | This project presents an intelligent AI-based system designed to detect and analyse plant diseases using images and user inputs. In the initial stage, the system relies on an advanced AI model to provide accurate disease identification and recommendations. These results are stored as learning data, allowing the system to gradually improve its own decision-making ability over time. As more detections are performed, the system begins to learn from past experiences and reduces its dependence on external AI services. This approach helps in improving efficiency, reducing operational cost, and increasing system reliability. The proposed solution aims to support farmers by providing timely disease identification along with preventive and corrective measures. The system demonstrates how AI can be effectively used to build self-learning applications that improve continuously with real-world usage |
| AUTHOR | PROF. B.S.PATIL, ARYAN MANE, KUNAL SALUNKE, SHRIKANT MALPANI, TANMAY KHAIRE Department of Artificial Intelligence & Machine Learning Department, AISSMS's Polytechnic, Pune, Maharashtra, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403062 |
| pdf/62_Implementation Paper on AI-Based Plant Disease.pdf | |
| KEYWORDS | |
| References | 1. Chaudhary, A., Gupta, M., & Tiwari, U. M. (2023). 2. Crop Disease Detection Using Deep Learning Models. 3. International Journal of Innovative Science and Research Technology (IJISRT), Volume 8, Issue 12, Pages 856–859. 4. Kothamasu, V. J. S. (2024). 5. Crop Prediction Model using Machine Learning and Deep Learning Methods. 6. International Journal of Engineering Research & Technology (IJERT), Volume 13, Issue 11. 7. Gowthul Alam, M. M., Reddy, G. N., Reddy, K. S. C., Vishnu, K. S., & Vighnesh, K. (2025). 8. Crop Disease Detection and Classification using Deep Learning. 9. International Journal of Engineering Research & Technology (IJERT), Volume 14, Issue 04 (April. 10. Kavya, S., & Basavesha, D. (2024). 11. Crop Disease Identification Using Computer Vision and Machine Learning Techniques. 12. International Journal of Advanced Scientific Innovation (IJASI), Volume 6, Issue 8. 13. Sharma, R., Singh, A., & Patel, S. (2023). 14. AI-Driven Crop Disease Detection and Management System. 15. International Journal of Innovative Science and Research Technology (IJISRT), Volume 8. |
