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---
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](https://huggingface.co/4lph4v3rs3/plant-disease-classification-model) |