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AI for Rice Leaf Disease Detection by sriletsoin03 is a document available to read on EtoBox.

What is AI for Rice Leaf Disease Detection about?

This paper presents a method for identifying rice leaf diseases using transfer-learned deep learning models enhanced by Dynamic Mode Decomposition (DMD) for preprocessing. The study evaluates various deep CNN models, with DenseNet121 achieving 93.87% accuracy and XceptionNet reaching 100% accuracy on DMD preprocessed images. The proposed DMD-based attention-driven approach significantly improves disease identification performance compared to traditional methods.

Author

sriletsoin03

Language

EN