Comparative Evaluation of Fine-Tuned Transfer Learning CNN Architectures for Automated Citrus Fruit Disease Classification
Early and accurate detection of citrus diseases is essential for maintaining fruit quality, minimising crop losses, and supporting sustainable agricultural production. Automated image-based diagnostic systems offer a scalable alternative to conventional manual inspection, which is often time-intensive, subjective, and...