Food and Product Carbon Emissions for 1,300 Items

A dataset of 1,300 food and product items with associated CO2e emissions, sourced from Kaggle. The data is intended for machine learning and analysis tasks related to environmental impact. The author, organization, and specific collection methodology are not detailed.

Use Cases

• Train a model to predict carbon emissions for new food items based on the provided 1,300 examples.
• Perform comparative analysis of the carbon footprint across different product categories.
• Build a recommendation system for lower-emission alternatives based on product attributes.
• Integrate emission factors into life-cycle assessment (LCA) tools for consumer products.

Strengths

• Includes 1,300 distinct food and product items.
• Provides CO2e (carbon dioxide equivalent) emission values for each item.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle