YellowB: Transfer Learning & Local Interpretable Model-Agnostic Explanations approach to Banana Leaf Diseases Classification

Abstract

"The agricultural domain continually grapples with disease management, significantly impacting yield and quality. This project addresses the challenge of early classification of banana leaf diseases that is a critical issue for farmers in Sri Lanka where bananas are a staple crop. Traditional methods of disease identification, reliant on visual inspection, suffer from issues of scale, accuracy, and timeliness, leading to substantial crop losses. To tackle this problem, the YellowB initiative leverages to create a robust Deep Learning (DL) model through Transfer Learning (TL) techniques. This approach is complemented using Explainable Artificial Intelligence (XAI) through Local Interpretable Model-agnostic Explanations (LIME) to interpret model predictions, making the system's decisions transparent and understandable to end-users."