Corn leaf diseases detection App built with Tensorflow, Keras and Streamlit
Corn Leaf Disease Identification adalah proyek Computer Vision berbasis MobileNetV2 untuk klasifikasi kesehatan daun jagung (Hawar, Karat, Sehat) secara akurat dan efisien. Proyek ini dikembangkan untuk ajang Penyisihan Hackta AI 2026.
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.
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