https://github.com/anshumanbehera27/bharatagroweb
https://github.com/anshumanbehera27/bharatagroweb
agriculture agriculture-data data-analysis data-science data-visualization flask ml python3 streamlit
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/anshumanbehera27/bharatagroweb
- Owner: anshumanbehera27
- Created: 2024-05-11T10:30:11.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-11T18:17:51.000Z (about 2 years ago)
- Last Synced: 2025-01-17T07:47:27.783Z (over 1 year ago)
- Topics: agriculture, agriculture-data, data-analysis, data-science, data-visualization, flask, ml, python3, streamlit
- Language: Jupyter Notebook
- Homepage: https://bharat-agro-web-anshuman27.streamlit.app/
- Size: 10.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# BharatAgro App
BharatAgro is a web application designed to assist farmers in making informed decisions about crop selection and fertilizer usage based on various factors such as soil composition, climate conditions, and geographical location.
## Features
### 1. Home
- **Description**: The landing page provides a brief introduction to the BharatAgro App.
- **Functionality**: Users can navigate through different sections using the sidebar.
### 2. Crop Prediction
- **Description**: Predicts the best crop to be cultivated based on soil reports.
- **Inputs**: Nitrogen, Phosphorus, Potassium, Temperature, Humidity, pH, Rainfall.
- **Algorithms**: Utilizes machine learning models including Decision Tree, Naive Bayes, Support Vector Machine (SVM), Linear Regression, and Logistic Regression, trained on soil data to make predictions.
- **Output**: Displays the recommended crop for cultivation.
### 3. Fertilizer Prediction
- **Description**: Predicts the best fertilizer to use based on soil reports and crop type.
- **Inputs**: Temperature, Humidity, Soil Moisture, Soil Type, Crop Type, Nitrogen, Phosphorus, Potassium.
- **Algorithm**: Utilizes a Random Forest Classifier, trained on fertilizer data to make predictions.
- **Output**: Displays the recommended fertilizer for use in the field.
### 4. Crop Location
- **Description**: Predicts the best crop to be cultivated based on geographical location.
- **Inputs**: State Name, District Name, Season.
- **Functionality**: Retrieves crop data based on the provided location from a predefined mapping.
- **Output**: Displays the recommended crop for cultivation in the specified location.
### webApp images
## Getting Started
1. Clone the repository to your local machine.
```bash
git clone https://github.com/anshumanbehera27/BharatAgroWeb.git
```
2. Install the required dependencies by running the following command in your terminal:
```bash
pip install -r requirements.txt
```
3. Run the application by executing the following command in your terminal:
```bash
streamlit run app.py
```
4. Access the application in your web browser at the provided URL.
[BhartAgroApp](https://bharat-agro-web-anshuman27.streamlit.app/)
## Contributing
Contributions are welcome! If you have any suggestions or improvements, feel free to open an issue or submit a pull request.
## License
This project is licensed under the [MIT License](LICENSE).