Standards/Carbon/Regenerative Agriculture

Carbon

Regenerative Agriculture

Standards for agricultural emissions reduction and soil carbon projects

Apply with a project How it works ↓v2025-03-01 · Third-party audited

How it works

From application to financial outcome.

An unbroken chain of evidence — from your field intervention to a verified digital asset that can be used in disclosures, sold in markets, or pledged in project finance structures.

Step 01 · OnboardingProject developer

Apply with your project

Register your farm under the Regenerative Agriculture methodology v1.0. You submit the location, intervention type, baseline soil organic carbon and land-use history, and ownership or management rights. An automated eligibility screen runs against the methodology's applicability criteria before your team invests further time.

Application

site, intervention, baseline

Eligibility screen

automated · criteria check

Project record

CT-PR-0442 created

Step 02 · Data intakeProject developer

Submit your measurement data

Connect your data sources — soil sampling, farm management records, drone surveys, or in-field sensors. The methodology specifies exactly which parameters are required at what resolution. Data is schema-validated on ingest, so gaps and format errors surface immediately rather than at the end of the verification cycle.

Drone & field surveys

Soil samples, crop and cover-crop records, tillage practices

Remote sensor feeds

Soil carbon and moisture probes, weather stations

Validation on ingest

Units, spatial coverage, temporal gaps flagged immediately

Step 03 · VerificationCarbontribe platform

AI and scientists verify together

All submitted data runs through automated science checks against the version-locked methodology. Carbontribe AI detects anomalies, cross-references independent signals, and drafts structured findings with confidence scores. In-house scientists review every flagged item and provide the final sign-off.

Carbontribe AI

Anomaly detection across the full dataset. Cross-references satellite, sensor, and survey signals. Drafts findings and confidence scores at scale.

In-house scientists

Domain experts in soil science and agronomy review every flag. They apply judgment the model cannot — and sign off the final result.

Step 04 · Digital-first MRVCarbontribe platform

Independent evidence, whatever the source

Beyond the data you submit, Carbontribe layers independent evidence from the best available sources for your context — satellite and aerial imagery, remote sensing, computer vision, physical models, acoustic sensors, or third-party databases. The MRV stack is assembled per-methodology and per-site: what matters is corroborating your ground data with independent signals, not which specific technology produces them.

Independent sources

satellite, sensors, databases

Analysis & modelling

per-methodology stack

Cross-validation

corroborate ground data

Verified outcome

142 ha · 8,420 tCO₂e

Step 05 · Anchor & IssuanceCarbontribe platform

Anchor to IPFS, mint as a digital token

Every input that isn't protected intellectual property — raw data, parameters, model code versions, satellite scene IDs, and the full verification trail — is content-addressed and pinned to IPFS. On scientist sign-off, the verified outcome is minted as an NFT on-chain whose metadata points back to that evidence bundle. The token is the canonical, transferable record of the result: one source of truth, queryable by anyone, revocable when methodology updates require it.

Evidence bundle · content-addressed

Proprietary model internals excluded

Satellite & drone imageryQmA9f1…c82a

Canopy cover model outputQm7e3c…1ff4

Methodology parameters · version-lockedQmd4f3…a91c

Analysis code versionmrp-engine v1.1.7

Verification reportQm8k2j…b07e

Satellite scene IDs22 scenes · pinned

CT-AS-01284
Carbon

Token standardERC-721 · Base

Verified value142 ha restored · 8,420 tCO₂e

Metadata URIipfs://QmA9f1…c82a

Biodiversity scoreSTAR Metric · 0.84 MSA·km²

StateLive · transferable

Step 06 · UseBuyer / project developer

Burn to disclosures, unlock financial benefits

When a buyer retires (burns) the asset, its verified values can be mapped into structured disclosure outputs — TNFD LEAP narratives, CSRD ESRS E4, IFRS S1/S2 metrics, and GRI 304. The same asset also unlocks financial pathways: project finance against a forward credit stream, IR reporting with an on-chain audit trail, voluntary market trading, and Scope 3 supply-chain claims. One evidenced result, many downstream uses.

TNFD

LEAP narrative

Location-specific LEAP (Locate–Evaluate–Assess–Prepare) for the farming landscape, covering biodiversity dependencies and impacts

CSRD E4

ESRS E4 data

Biodiversity impact metrics, habitat area affected, SBTN-aligned targets and remediation evidence for CSRD mandatory reporters

IFRS S2

Nature risk metrics

Physical and transition risk exposure reduction evidence across all four S1/S2 pillars, audit-grade

GRI 304

Biodiversity responses

GRI 304-1 through 304-4 · habitats protected, species impacted, IUCN red list status, restoration area

Project finance

Borrow against a forward stream of verified biodiversity and carbon credits, closing the financing gap at a competitive rate.

Investor relations

Report verified nature-positive outcomes in IR, annual reports, and ESG supplements — with an on-chain audit trail.

Supply-chain nature claims

Substantiate Scope 3 biodiversity and blue-carbon claims to buyers or regulators requiring location-specific evidence.

Blue-carbon markets

Transfer or retire credits on voluntary carbon and nature markets with a full evidence trail attached to the token.

Developed by

Carbontribe Labs OÜ

Audited by

Earthood

Visit Auditor View Report

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