The effects of mixed greenhouse gases on the mid- to long-term climate (100 years), expressed relative to the warming caused by carbon dioxide (carbon dixoide equivalents).
10th percentile
90th percentile
mean
A comprehensive open-source format for representing agricultural practices and environmental outcomes. Defines how data are structured across farms, products, and supply chains.
Explore the schema409,000+ standardised terms ensuring everyone uses the same vocabulary — from crop types and input categories to environmental indicators and measurement units.
Browse the glossaryExchange data across organisations, tools, and research projects without reformatting.
Our validation pipeline catches errors and inconsistencies before data enter the platform.
Standardised terms, system boundaries, and functional units mean data from any source can be compared.
JSON-LD format integrates directly into software, APIs, and automated workflows.
Our free, open-source models quantify multi-indicator environmental outcomes using Life Cycle Assessment methods. They are compliant with major global standards.
Land sector and removals guidance for corporate and product-level greenhouse gas accounting.
The European Commission's method for measuring product and organisation environmental performance.
International standards for Life Cycle Assessment — principles, framework, and requirements.
Refinement of the 2006 guidelines for national greenhouse gas inventories — the global standard for emissions factors.
Full multi-indicator environmental assessments for any farm or food product.
Every other major sector of the economy has infrastructure to measure its environmental impacts.
Food has almost nothing.
Food production depends on living systems — soils, water cycles, pollinators, nutrient flows — yet we have almost no systematic way of measuring how farming practices affect them. Energy has smart meters. Finance has accounting standards. Aviation has emissions reporting. Food — the industry that reshapes more of the planet's surface than any other — has no shared language, no common database, and no way to answer basic questions about how to improve its performance.
Carbon markets, sustainability labels, regenerative agriculture, public procurement reform — every major effort to fix food systems is bottlenecked by the same thing: there is a huge lack of critical data, or the data are incomparable. HESTIA changes all of this.

Large-sample randomised controlled trial testing whether our farm sustainability toolkit changes environmental practices among pig farmers.

With the University of São Paulo, working with ~100 beef farmers to measure and reduce the sustainability impacts of Brazilian cattle production.

RCT with PanNature and 1,000 coffee farmers in the central highlands, testing whether environmental outcome data changes attitudes and practices.

Randomised controlled trial with Strathmore University, measuring the effect of environmental data on Kenyan coffee farming practices.
We have built a major modelling toolkit, tested it on thousands of farming cycles, and our open data are accumulating. Join our collaborative effort to transform the food system.
Everything is free and open source. Explore the data, run environmental assessments, adopt the standard.
ExploreYour data are re-used thousands of times worldwide, not left in supplementary materials. Major contributors are invited to co-author publications with our team.
Publish on HESTIAAccess to the very latest version of the HESTIA dataset — including newly validated data before each public release — is available to those who contribute funding, data, or open-source code.
Get accessHigh-leverage, pre-competitive, foundational work that makes every sustainability intervention more effective. Find out more about our impact.
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