DairyCarbon by AgriEnv AI IPCC-aligned screening model

U.S. DAIRY FARM DECISION SUPPORT

See the emissions.
Test the change.

Estimate annual greenhouse-gas emissions from dairy cattle, goats, and sheep—then compare practical enteric, manure, and energy mitigation scenarios.

Start assessment Read the science
Sources modeled6Enteric · manure · energy · feed
3 speciesClass & breed-aware
Climate-linkedReporting-year weather
AuditableCSV factor export
Scenario-readyMitigation comparison

FARM ASSESSMENT

Build your dairy inventory

Annual, farm-gate screening estimate. Purchased feed is optional; crop production is not modeled.

Animal groups

Defaults respond to species, class, and breed. Replace them with farm measurements whenever available.

Group 1
Group 2
Group 3
Results update only when you select Calculate.

TRANSPARENT BY DESIGN

From animal activity to auditable results

01

Characterize

Species, class, breed-informed defaults, intake, production, diet, climate, and manure handling.

02

Calculate

IPCC Tier 2 enteric methane, volatile-solids manure methane, nitrogen-balance N₂O, and farm energy.

03

Compare

Baseline and mitigation scenario totals, intensities, avoided emissions, and source-by-source hotspots.

04

Audit

Export inputs, resolved factors, equations, units, and source notes in a structured CSV.

Detailed science & accuracy PDF

TUTORIAL & SCIENTIFIC BASIS

How DairyCarbon works

Describe annual-average animal groups, replace breed-informed defaults with farm measurements, retrieve reporting-year temperature, select manure handling and annual energy activity, set evidence-based mitigation assumptions, and select Calculate. The model totals enteric CH₄, manure CH₄ and N₂O, energy, refrigerants, and optional purchased-feed emissions.

Purpose

Screen U.S. dairy-farm GHG emissions, find hotspots, and compare enteric, manure, and energy scenarios.

Inputs

Species, class, breed, head, body weight, intake, milk, diet, temperature, manure system, grazing, energy, refrigerants, feed, and mitigation controls.

Calculations

IPCC Tier 2 enteric energy balance, volatile-solids manure CH₄, nitrogen-balance manure N₂O, fuel/electricity CO₂e, and baseline-versus-alternative changes.

Outputs

Annual t CO₂e, source hotspots, per-head and per-kg-milk intensity, physical gas quantities, avoided emissions, and licensed CSV audit.

Educational channels

Sustainability Analytics LabDigital Agriculture and AI Lab

Scientific references

DOIs are shown where assigned; standards and databases use official links.

  1. IPCC. 2019 Refinement, Volume 4, Chapter 10. DOI: not assigned.
  2. IPCC. 2006 Guidelines, Volume 4. DOI: not assigned.
  3. U.S. EPA. Inventory of U.S. GHG Emissions and Sinks, Agriculture and Annex 3. DOI: not assigned.
  4. Niu, M. et al. (2018). Global Change Biology 24:3368–3389. DOI: 10.1111/gcb.14094.
  5. Hristov, A.N. et al. (2015). PNAS 112:10663–10668. DOI: 10.1073/pnas.1504124112.
  6. Dijkstra, J. et al. (2018). Journal of Dairy Science 101:9041–9047. DOI: 10.3168/jds.2018-14456.
  7. Kebreab, E. et al. (2023). Journal of Dairy Science 106:927–936. DOI: 10.3168/jds.2022-22211.
  8. National Academies (2021). Nutrient Requirements of Dairy Cattle. DOI: 10.17226/25806.
  9. National Research Council (2007). Nutrient Requirements of Small Ruminants. DOI: 10.17226/11654.
  10. Moraes, L.E. et al. (2014). Global Change Biology 20:2140–2148. DOI: 10.1111/gcb.12471.
  11. U.S. EPA AgSTAR. Manure methane reduction practices. DOI: not assigned.
  12. U.S. EPA. Emission Factors Hub and eGRID. DOI: not assigned.
  13. Open-Meteo. Historical Weather API. DOI: not assigned.
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