How can I use autogenerated footprints?

Autogenerated footprints can be used to compare ingredients in different regions or a food category with another. Comparing autogenerated footprints with footprints calculated with the producer’s primary data is misleading, as the data resolution differs significantly.

Kulpotatis röda tvättad SE

Fruktservice i Helsingborg AB
🇸🇪 Sweden
Autogenerated from publicly available data

These footprints are emissions forecasts from proxy data until the producer gets involved in the calculation.

Climate label showing 0.25 kg CO₂e/kg
Live footprint: 0.25 kg CO₂e/kg

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Claim product
Agriculture leads to greenhouse gas emissions through biological processes, the production and use of inputs such as fertilizer, pesticides, and other treatments, as well as through the energy use for machinery and on-farm refinement processes.
Agriculture
74%
Food is moved from field to factory to consumer, using a variety of transport modes and fuels. All transport activities are included in the climate footprint, up to the stage stated in the report.
Transport
10%
Most food products have gone through some sort of refinement. It could be cleaning, heating, cooling, drying, mixing, sterilization, fermentation, or an array of other activities. These processes all consume energy and some require the use of chemicals.
Processing
1%
Energy and raw materials used for packaging in different steps along the production chain.
Packaging
13%
In warehouses, energy is consumed mainly for lighting, heating, chilling, and ventilation. Leakage of refrigerants – used for air-conditioning, fridges, and freezers – also contribute to climate change, since these are powerful greenhouse gases.
Storage
2%

Autogenerated by the CarbonCloud platform

This footprint is based on publicly available data. The producer has not been involved in the assessment.iThe data is representative for the type of product, but is not guaranteed to accurately represent the specific product.

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