Optimized Lightweight U-Net and YOLACT framework for multi-disease severity detection in pome fruit leaves.

The extensive review of related work reveals a clear trend towards the application of deep learning methodologies, predominantly various CNN architectures and increasingly Vision Transformers, for plant disease detection and severity assessment.

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