Welcome to the Crop Recommendation System! This project is designed to help farmers and agricultural stakeholders make informed decisions about which crops to plant based on various environmental and soil parameters. The system utilizes custom machine learning models to provide accurate crop recommendations.
- Custom Machine Learning Models: Developed and trained on relevant datasets for high accuracy.
- User-Friendly Interface: Easy-to-use interface for inputting data and receiving recommendations.
- Environmental and Soil Parameter Analysis: Considers factors such as soil type, temperature, humidity, and more.
- Scalable and Extensible: Easily adaptable to include more parameters or different regions.
To get started with the Crop Recommendation System, follow these steps:
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Clone the Repository:
git clone https://github.com/yourusername/crop-recommendation-system.git cd crop-recommendation-system -
Install Dependencies:
pip install -r requirements.txt
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Run the Application:
python main.py
- Input Data: Enter the required environmental and soil parameters into the system.
- Get Recommendations: The system will process the input data and provide crop recommendations.
- Review Results: Analyze the recommended crops and make informed planting decisions.