A Domain-Invariant and Edge-Efficient Framework for Leaf Disease Classification
Reliable leaf disease diagnosis is essential for improving agricultural productivity. However, deploying such systems in real-world environments remains challenging due to domain variations across different crops and imaging conditions. Models trained on controlled datasets often fail to generalize effectively when cro...