The Obese Land Viability Checker is an AI-powered tool designed to assess land suitability for agricultural use. By analyzing soil quality, climate conditions, and water availability, it provides valuable insights to help farmers and agribusinesses make informed decisions.
- Soil Quality Analysis: Evaluates key soil nutrients and fertility levels.
- Climate Suitability: Assesses temperature, rainfall, and humidity for optimal crop growth.
- Water Resource Mapping: Identifies proximity to irrigation sources and water bodies.
- Machine Learning Predictions: Uses AI to predict crop yields based on historical data.
- User-Friendly Interface: Simple and intuitive for seamless use.
- Programming Language: Python ๐
- Libraries: Pandas, NumPy, Scikit-learn, TensorFlow
- Data Sources: OpenWeather API, Satellite Imagery, Soil Databases
- Clone the repository:
git clone https://github.com/Sylvester-Bempong/obese-land-viability-checker.git
- Navigate to the project folder:
cd obese-land-viability-checker
- Install dependencies:
pip install -r requirements.txt
- Run the script:
python main.py
- Develop a web-based dashboard for visualization.
- Mobile app integration for on-the-go analysis.
- Expand dataset for increased accuracy.
Contributions are welcome! Feel free to fork the repository and submit a pull request.
For inquiries, reach out via Sylvesterobese6665@gmail.com or open an issue on GitHub. Mobile: +233(0) 540456262
๐ก "Empowering farmers with AI-driven insights for smarter agriculture." ๐ฑ