Benchmarking Deep Learning Architectures for Multi-Class Lemon Leaf Disease Classification
Accurate and early detection of citrus leaf diseases is essential for maintaining lemon crop health and yield. This work presents a comparative evaluation of four deep learning architectures — CNN, CNN+LSTM, ResNet50, and DenseNet121 — for multi-class classification of lemon leaf diseases using image-based data. A stan...