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Crop Prediction in India

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Overview

This project predicts crop yields in India using machine learning models for informed agricultural planning.

Objectives

  • Crop Yield Prediction: Develop models based on historical data and weather patterns.

  • Data Analysis: Explore agricultural, weather, and land use data for insights.

  • Decision Support System: Provide a system for informed decision-making in farming.

Methodology

Use regression models, time series analysis, and data preprocessing for accurate predictions.

Usage

  1. Install dependencies: pip install -r requirements.txt
  2. Run: python predict_crop_yield.py

Results

Accurate crop yield predictions visualized through charts and graphs.

License

MIT License

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