https://github.com/durjaysamrat/app-based-solution-for-rice-plant-disease-detection-using-tensorflow
This project provides a valuable tool for farmers, enabling them to manage rice plant diseases effectively and improve crop yield. The combination of advanced deep learning techniques and mobile technology offers a practical solution for real-world agricultural challenges.
https://github.com/durjaysamrat/app-based-solution-for-rice-plant-disease-detection-using-tensorflow
android-app android-studio disease-detection farmers jupiter-notebook rice-diseases tensorflow-lite
Last synced: 8 months ago
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This project provides a valuable tool for farmers, enabling them to manage rice plant diseases effectively and improve crop yield. The combination of advanced deep learning techniques and mobile technology offers a practical solution for real-world agricultural challenges.
- Host: GitHub
- URL: https://github.com/durjaysamrat/app-based-solution-for-rice-plant-disease-detection-using-tensorflow
- Owner: durjaysamrat
- Created: 2024-12-11T03:17:41.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-01-17T13:08:53.000Z (9 months ago)
- Last Synced: 2025-01-17T14:22:20.423Z (9 months ago)
- Topics: android-app, android-studio, disease-detection, farmers, jupiter-notebook, rice-diseases, tensorflow-lite
- Language: Jupyter Notebook
- Homepage:
- Size: 21.2 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
### 🌟 Mobile App Interface
# 🌾 App-Based Solution for Rice Plant Disease Detection
Welcome to the repository for **App-Based Solution for Rice Plant Disease Detection**! 📱✨
This project leverages **TensorFlow** and cutting-edge machine learning techniques to identify diseases in rice plants, providing farmers with a powerful tool to protect their crops and optimize yield. 🚜
---
## 🧠 Problem Statement
Diseases in rice plants can severely impact crop yield and quality, leading to economic losses for farmers.
Traditional methods for detecting plant diseases are time-consuming and require expert knowledge.
This project provides a scalable and efficient **app-based solution** that automates the detection process, empowering farmers with actionable insights. 🌱
---
## ✨ Key Features
- **Deep Learning-Powered Detection**
Utilizes TensorFlow models to classify rice plant diseases with high accuracy.
- **User-Friendly Interface**
A simple and intuitive mobile app for farmers to capture and analyze plant images.
- **Real-Time Results**
Instant feedback with disease identification and actionable recommendations.
- **Scalable Solution**
Designed for deployment across regions to support farmers at scale.
---
## 💻 Tech Stack
- **Frameworks & Libraries:** TensorFlow, Keras, OpenCV
- **Programming Language:** Python
- **Deployment Tools:** Flask, TensorFlow Lite
- **Mobile App Integration:** Android Studio
---
## 🚀 Getting Started
### Prerequisites
1. **Python** (3.7 or later)
2. **TensorFlow** (2.x)
3. **Flask** for the API backend
4. **Android Studio** for app development
### Installation
1. Clone the repository:
```bash
git clone https://github.com/durjaysamrat/App-Based-Solution-for-Rice-Plant-Disease-Detection-using-tensorflow.git
```
2. Navigate to the project folder:
```bash
cd App-Based-Solution-for-Rice-Plant-Disease-Detection-using-tensorflow
```
3. Install dependencies:
```bash
pip install -r requirements.txt
```
4. Run the Flask server:
```bash
python app.py
```
5. Load the mobile app in Android Studio, connect it to the Flask backend, and start testing!
---
## 📊 Results
### Model Accuracy
Achieved **95% accuracy** on the test dataset, ensuring reliable disease detection.
### Disease Classes Detected
1. Bacterial Leaf Blight
2. Brown Spot
3. Leaf Smut
### Example Predictions
- Input Image: 🌾 Rice plant leaf
- Output: "Disease Detected: Brown Spot"
---
### 🧠 Model Prediction Output
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## 🤝 Contributions
Contributions, issues, and suggestions are welcome! 🎉
Feel free to **fork this repository**, make your improvements, and submit a pull request.
---
## 📫 Contact
[](https://linkedin.com/in/durjay-samrat) [](https://github.com/durjaysamrat)[](mailto:durjaysamratn36@gmail.com)
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⭐ **If you find this project helpful, give it a star!**
Let’s build solutions to empower the agriculture industry. 🚜🌾
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