Design and Development of a Dataset of Indian Rose Plant Leaves for Scientific and Agricultural Applications

This research presents a high-quality, annotated image dataset of Indian rose plant leaves to support AI-based disease detection. A total of 596 images, including healthy and diseased leaves, were collected from various rose varieties. The dataset is preprocessed and augmented for machine learning use. By addressing the lack of Indian rose-specific datasets, this study aims to improve disease classification accuracy and support advancements in precision agriculture and floriculture research.