Crop Disease Detection and Severity Estimation Using Machine Learning

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{208448,
        author = {Mr. Vivek Kale and Mr. Rahul Patil and Mr. Pratap Suryavanshi and Dr. Kavita Dhakad},
        title = {Crop Disease Detection and Severity Estimation Using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {178-188},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=208448},
        abstract = {.},
        keywords = {Crop Disease Detection, EfficientNet-B0, Multi-Task Learning, Severity Grading, Feature Map Visualization, Species Logit Masking, Grad-CAM, PlantDoc Benchmark.},
        month = {September},
        }

Cite This Article

Kale, M. V., & Patil, M. R., & Suryavanshi, M. P., & Dhakad, D. K. (2026). Crop Disease Detection and Severity Estimation Using Machine Learning. International Journal of Innovative Research in Technology (IJIRT), 178–188.

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