README.md

---
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)