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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.

  • Updated Jan 24, 2025
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