plantdoc

Comparative analysis of Custom CNN, ResNet50, MobileNetV2, and EfficientNetB0 for multi-class plant disease detection using PlantVillage and PlantDoc. Evaluating accuracy, efficiency, and generalization from controlled to field images.

ML & DL Models Comparison on PlantVillage & PlantDoc datasets.

PyTorch pipeline for apple leaf disease segmentation, classification and severity estimation on PlantVillage and PlantDoc.

Single-class YOLO leaf-detection pipeline with a recorded 57,164-image/63,225-box preparation run, ONNX export, browser demo, and 12 tests.

Crop Disease Advisor — multilingual farmer support app: upload a leaf photo, get AI disease prediction (27 PlantDoc classes), evidence-based advice, and spoken explanations in English, Hindi, and Kannada. FastAPI + ONNX backend on Render, Next.js frontend on Netlify.