Enhancing Deep Learning Model Performance through Data Generation Strategies: Classification of Olive Tree Diseases

Deep learning models are highly effective in a wide range of domains, particu larly in plant disease diagnosis. However, their performance is often limited by challenges such as insufficient data and class imbalance. In our work, we propose a comprehensive data generation strategy to overcome these