Standards/Carbon/Regenerative Agriculture
    Carbon

    Regenerative Agriculture

    Standards for agricultural emissions reduction and soil carbon projects

    Apply with a projectHow 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.

    From application to financial outcome Six steps across three actors: the project developer applies and submits measurement data; the Carbontribe platform verifies it with AI and scientists, gathers independent digital-first MRV evidence, anchors it to IPFS and mints a digital token; the buyer or project developer then burns it to disclosures to unlock financial benefits. PROJECT DEVELOPER CARBONTRIBE PLATFORM BUYER / PROJECT DEVELOPER SIGN-OFF VERIFIED ASSET STEP 01 · ONBOARDING Apply with your project automated eligibility screen STEP 02 · DATA INTAKE Submit your measurement data schema-validated on ingest STEP 03 · VERIFICATION AI and scientists verify together scientists sign off flagged items STEP 04 · DIGITAL-FIRST MRV Independent evidence, whatever the source corroborated by independent signals STEP 05 · ANCHOR & ISSUANCE Anchor to IPFS, mint as a digital token pinned to IPFS, minted on-chain STEP 06 · USE Burn to disclosures, unlock financial benefits disclosures & financial pathways
    1
    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
    2
    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
    3
    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.
    4
    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
    5
    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 anchored to IPFS, outcome minted as NFT Exploded view, bottom to top: six evidence inputs (satellite and drone imagery, canopy cover model output, version-locked methodology parameters, analysis code version, verification report, satellite scene IDs) are content-addressed into an evidence bundle pinned to IPFS, with proprietary model internals excluded; scientists sign off, and the verified outcome is minted as an NFT on-chain whose metadata URI points back to the evidence bundle. Evidence inputs IMAGERY, MODEL OUTPUT, PARAMETERS, CODE VERSION, REPORT, SCENE IDS Evidence bundle CONTENT-ADDRESSED, PINNED TO IPFS, MODEL INTERNALS EXCLUDED Scientist sign-off VERIFIED OUTCOME NFT on-chain METADATA URI POINTS BACK TO THE EVIDENCE BUNDLE
    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
    6
    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.

    One verified asset, many downstream uses Fan-out from a single verified digital asset. When it is retired (burned), its verified values map to four disclosure outputs: TNFD LEAP narrative, CSRD ESRS E4 data, IFRS S2 nature risk metrics and GRI 304 biodiversity responses. The same asset also unlocks four financial pathways: project finance, investor relations, supply-chain nature claims and blue-carbon markets. ONE RESULT Verified digital asset many downstream uses ON RETIRE (BURN) Disclosure outputs TNFD LEAP narrative biodiversity dependencies, impacts CSRD E4 ESRS E4 data impact metrics · habitat area IFRS S2 Nature risk metrics physical, transition risk exposure GRI 304 Biodiversity responses 304-1 to 304-4 · restoration area SAME ASSET Financial pathways Project finance borrow against forward credits Investor relations IR with on-chain audit trail Supply-chain nature claims Scope 3, location-specific evidence Blue-carbon markets voluntary markets · evidence trail
    Developed by
    Carbontribe Labs OÜ
    Audited by
    EarthoodEarthood
    Visit Auditor View Report
    Tags
    #Soil carbon#Emissions reduction#Agriculture
    Methodology
    Read methodology · v1.0
    Status
    Initiated03/2024
    Peer reviewed10/2024
    Expert reviewed03/2025
    Third-party audited05/2025
    Apply now
    Assessed With
    UN SDGsIPCCEarthood
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