Smart agriculture: Advancements on plant disease detection with big data and deep learning

This thesis proposes a novel image clustering approach using multi-view and contrastive learning techniques. The proposed method is evaluated on various datasets, including the Plant Disease Image dataset, and achieves promising results. The thesis also provides a comprehensive literature review of clustering techniques and discusses future directions for research in this field.