India Crop Yield & Agricultural Production Prediction Dataset

This dataset contains cleaned and structured agricultural production records useful for crop yield prediction, demand forecasting, and climate impact modeling. It includes variables such as: State District (if available) Crop Type Season Area cultivated (hectares) Production (tons) Annual rainfall Yield per hectare Year The dataset has been processed through an EDA workflow including: Missing value handling Duplicate removal Outlier validation Unit consistency checks Range validation for rainfall and production Standardization of crop & state names Suitable for: Machine learning regression models Agricultural risk modeling Climate impact analysis Yield forecasting Government policy simulation Agri-insurance modeling

Data Quality

Structured tabular format No duplicate records Minimal missing values (handled) Realistic agricultural range validation Standardized categorical fields Cleaned numerical fields Ready for ML pipelines

Use Cases

Crop yield prediction Climate vs production modeling Agricultural productivity benchmarking State-wise crop performance comparison Food supply forecasting Agri-fintech analytics Insurance risk scoring

Limitations

Community-compiled dataset May not reflect official government audited records Climate variables may be limited to rainfall only Static historical dataset (if no live updates)

Methodology

The dataset was structured and validated using: Exploratory Data Analysis (EDA) Missing value imputation Duplicate removal Outlier detection using statistical thresholds Distribution validation Feature normalization for predictive modeling Final dataset exported in CSV format for seamless integration with ML tools.