NeuroLeaf — AI Leaf Detection & Diagnostics
Designed a multi-stage vision pipeline (YOLO detection, dual DeepLabV3+ segmentation, EfficientNet-B3 classification) to compute diseased leaf area, achieving 94.63% accuracy and 0.837 lesion Dice score. Integrated a 9-input Mamdani fuzzy inference engine with a Knowledge-Graph RAG layer grounding Groq (Llama 3.3) treatment advice in cited safety limits.