A next-generation hybrid generative learning framework integrating dual GAN and Swin Transformer–CNN for robust early diagnosis of pomegranate diseases
A novel hybrid method is proposed that separates healthy from diseased pomegranates using generative AI and a dual-GAN system, thereby enhancing training and out-comes and provides a strong starting point for future AI-based crop health management.
Rutuja S. Magar, N. Deshpande, Swati Sharma
· Discover Computing · 0 citations