CropMitra is a smart crop recommendation system designed to assist farmers and agricultural enthusiasts in making informed decisions about which crops to grow. By analyzing factors such as soil type, temperature, humidity, and rainfall, the model predicts the most suitable crop for a given region.
- 📊 Predicts the best crop based on environmental conditions
- 🤖 Built using machine learning algorithms
- 🖥️ Simple and interactive web interface (if applicable)
- 📁 Easy to run locally
- Python
- Scikit-learn / Pandas / NumPy
- Jupyter Notebook / Flask (if applicable)
- HTML/CSS (for frontend)
- Clone the repository:
git clone https://github.com/omsudhamsh/cropmitra.git cd cropmitra - Installed Required Dependencies:
pip install -r requirements.txt
- Run the app
pythonapp.py
Note: If this uses a Jupyter Notebook, simply open the notebook in JupyterLab or Colab.
📂 Dataset
This project uses a dataset containing soil and climate information to train the model. Make sure the dataset is placed in the correct directory if not already included.
🤝 Contributions
Contributions are welcome! Feel free to fork this repo, make changes, and submit a pull request.
📄 License
This project is licensed under the MIT License.