Author

Asad Ullah

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Open access Jul 2026

A hybrid deep learning pipeline for rice disease detection using GAN-based augmentation and Otsu thresholding

This research proposes a novel pipeline for rice disease detection using a hybrid approach that integrates Generative Adversarial Networks (GANs) for data augmentation, Otsu thresholding for image preprocessing, and a deep learning model for classification.

Arshad Ali, Asad Ullah, Maryam Gulzar et al. · Discover Computing · 0 citations