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