README.md

metadata

title: CropGuard Tech Plant Disease Detection
emoji: 🌱
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 6.2.0
app_file: app.py
pinned: false
license: mit

CropGuard Tech - Plant Disease Detection

AI-powered plant disease detection system using deep learning CNN model.

Model Specifications

• Architecture: Convolutional Neural Network (CNN)
• Input Size: 150x150x3 RGB images
• Classes: 70 disease categories
• Accuracy: 95%+ on validation set
• Training Platform: Google Colab
• Dataset: Kaggle Plant Disease Dataset (10,000+ images)

Supported Crops (19+)

Apple, Blueberry, Cauliflower, Cherry, Corn (maize), Cotton, Grape, Jackfruit, Mango, Orange, Peach, Pepper (bell), Potato, Pumpkin, Raspberry, Rice, Soybean, Strawberry, Sugarcane, Tomato

Disease Categories

• Fungal (35 classes): Blight, Mildew, Rust, Rot, Spot, Scab, Mold
• Bacterial (10 classes): Bacterial Spot, Canker, Blight
• Viral (4 classes): Mosaic Virus, Curl Virus
• Pest (5 classes): Aphids, Spider Mites, Weevils, Midge
• Healthy (16 classes): One per crop type

Usage

Upload an image of a plant leaf to get disease predictions with confidence scores.

Model Repository

View Model Files