Efficient Classification of Pomegranate Diseases Using Deep Learning Models and Interactive Visualization
This work tackles the growing hazard of pomegranate infections by utilizing deep learning for early detection and control. We created a strong classification system by implementing models with TensorFlow, Keras, and NumPy, as well as a user-friendly interface with Python and Streamlit. Five CNN arch...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/13/epjconf_icetsf2025_01051.pdf |
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