Akhil1409906/YOLOv8-Based-SUNet-Real-Time-Coffee-Leaf-Disease-Detection-Using-a-Hybrid-Deep-Learning-Model
This project uses a hybrid YOLOv8-based SUNet model for real-time detection of coffee leaf diseases. It accurately classifies diseases like Brown Eye, Leaf Rust, Leaf Miner, and Red Spider Mite, improving early intervention and reducing crop losses.
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