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Obese Land Viability Checker ๐ŸŒฑ is a Python tool that analyzes soil data and images using machine learning to assess land fertility and suitability for farming in Ghana. ๐Ÿšœ๐Ÿ”

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Obese Land Viability Checker ๐ŸŒพ

๐Ÿ“Œ Overview

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.

๐Ÿš€ Features

  • 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.

๐Ÿ› ๏ธ Technologies Used

  • Programming Language: Python ๐Ÿ
  • Libraries: Pandas, NumPy, Scikit-learn, TensorFlow
  • Data Sources: OpenWeather API, Satellite Imagery, Soil Databases

๐Ÿ“– Installation & Usage

  1. Clone the repository:
    git clone https://github.com/Sylvester-Bempong/obese-land-viability-checker.git
  2. Navigate to the project folder:
    cd obese-land-viability-checker
  3. Install dependencies:
    pip install -r requirements.txt
  4. Run the script:
    python main.py

๐Ÿ”ฎ Future Enhancements

  • Develop a web-based dashboard for visualization.
  • Mobile app integration for on-the-go analysis.
  • Expand dataset for increased accuracy.

๐Ÿค Contributing

Contributions are welcome! Feel free to fork the repository and submit a pull request.


๐Ÿ“ซ Contact

For inquiries, reach out via Sylvesterobese6665@gmail.com or open an issue on GitHub. Mobile: +233(0) 540456262

๐Ÿ’ก "Empowering farmers with AI-driven insights for smarter agriculture." ๐ŸŒฑ

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Obese Land Viability Checker ๐ŸŒฑ is a Python tool that analyzes soil data and images using machine learning to assess land fertility and suitability for farming in Ghana. ๐Ÿšœ๐Ÿ”

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