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| Main Authors: | , , |
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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.16829681 |
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Table of Contents:
- <h3>Release for "PestReKNet-X: Integrating Explainable AI to Enhance Pest Disease Detection and Combat Crop Senescence"</h3> <p>This release contains the complete source code and materials for the research paper "PestReKNet-X: Integrating Explainable AI to Enhance Pest Disease Detection and Combat Crop Senescence," as submitted to Royal Society Open Science.</p> <h4>What's Included in this Repository:</h4> <ul> <li><strong>Source Code:</strong> Jupyter notebooks detailing the implementation of the PestReKNet-X model, including data preprocessing, training, and the application of Explainable AI techniques.</li> <li><strong>Visualizations:</strong> Supporting images and figures generated from the analysis.</li> <li><strong>License:</strong> This work is licensed under the <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License (CC-BY 4.0)</a>.</li> </ul>