🌾 Crop Production Analysis in India

This project explores agricultural crop production trends across various Indian states using publicly available data from data.gov.in. It focuses on identifying top crops and states by production, analyzing crop-wise trends, and studying the relationship between rainfall and crop yield.

📊 Project Objectives

• Identify the top 10 crops by total production.

• Find the top 10 states with the highest agricultural output.

• Analyze crop-wise production trends over time.

• Study the relationship between rainfall and yield.

• Present key insights using effective visualizations.

• Data Includes:

  • Crop names
  • Production values (in tonnes)
  • State-wise data
  • Rainfall data
  • Year-wise trends

🛠️ Tools & Libraries

• Python 🐍
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Jupyter Notebook

📈 Visualizations

• Top 10 crops by production (Bar chart)
• Top 10 states by production (Bar chart)
• Year-wise production trend for selected crops (Line chart)
• Rainfall vs. yield correlation (Scatter plot)

🧠 Insights

• Wheat and Rice are among the highest produced crops across India.
• Punjab and Uttar Pradesh are leading states in crop production.
• Certain crops show strong correlation between rainfall and yield.

📌 Purpose

This project helps:

• Understand which crops are most productive and where.
• Farmers and policymakers make data-driven decisions.
• Explore how rainfall patterns impact crop yield.

Made with ❤️ by Anshu Kumar