Generation and Transformation Invariant Learning for Tomato Disease Classification

Deep learning-based plant disease management became a cost-effective way to improved agro-productivity. Advanced train sample generation and augmentation methods enlarge train sample size and improve feature distribution but generation and augmentation introduced sample feature discrepancy due to the generation learning process and augmentation artificial bias. We proposed a generation and geometr...