Table of Contents

  1. 🚀 Why Use Data Analysis in Farming?
  2. 🛠️ Tools You’ll Need
  3. 📊 Getting Started with Python for Data Analysis
  4. 🤖 Introduction to Machine Learning for Yield Prediction
  5. 🌐 Accessing Open Datasets
  6. 📝 Using Jupyter Notebooks for Analysis
  7. 🌱 How Farm Friend Can Help
  8. 📌 Next Steps and Resources

🚀 Why Use Data Analysis in Farming?

Modern farming is no longer just about soil and seeds—it's about data-driven decisions. Advanced data analysis allows you to:

By using tools like Python, machine learning, and open datasets, farmers can gain insights that were once only accessible to large agricultural corporations.


🛠️ Tools You’ll Need