Engineered GAF-Net, an enhanced YOLOv8-based model for multi-disease corn leaf detection, integrating GSConv and FASF modules to boost feature extraction and localization accuracy. Achieved efficient, real-time performance through optimized training and inference on annotated agricultural datasets.
opencv pytorch matplotlib baseline-model mean-average-precision feature-fusion seaborn-plots disease-detection corn-leaf-deseases-detection gsconv yolov8 roboflow-dataset ultralytics-yolo gafnet
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Updated
Apr 30, 2026 - Jupyter Notebook