The collection of high-resolution training data is crucial in building robust plant disease diagnosis systems, since such have a significant impact on diagnostic performance. However, they are very difficult to obtain and not always available practice. Deep learning-based techniques, particularly generative adversarial networks (GANs), can be applied generate high-quality super-resolution image...