Exploring Explainable AI Techniques in Machine Learning-Based Leaf Disease Identification

This study delves into the integration of explainable AI techniques to enhance the transparency of machine learning models applied to leaf disease identification, and indicates that integrating XAI not only enhances the trustworthiness of the model but also facilitates error analysis and domain-specific insights.