AUDITABLE AGRICULTURAL SCOPE 3 DATA
Heavy reliance on default data leaves your sustainability claims
open to regulatory and audit challenge.
Build a GHG Protocol-compliant Category 1 Scope 3 inventory.
Transition from generalized secondary datasets toward emission
factors grounded in real, on-farm activity data.
Connect reported GHG outcomes to your sourcing regions through Mass Balance Chain of Custody (CoC) tracking. Digital twin tokens follow each bushel from its exact origin through every point of aggregation, preventing overclaiming and double counting.
Drive direct, verifiable mitigation outcomes within your actual supply shed. Arva's framework delivers verified, defensible carbon insets that seamlessly integrate into your Scope 3 inventory, isolating practice-level impacts to confidently meet your SBTi FLAG targets.
Traditional Scope 3 tracking relies on generic industry averages or spend-based secondary data that fail to reflect actual supply chain improvements.
Captures actual cradle-to-farm-gate practice data directly from suppliers and growers (tillage, cover crops, specific nitrogen use).
Replaces background assumptions with granular, data-driven Program Emission Factors (Program EFs).
Crops are naturally mixed and blended at elevators or mills, breaking the physical link between reported GHG data and the buyer.
Tokenizes every bushel at harvest with non-fungible assets containing exact geospatial origin and carbon intensity (CI) scores.
Strictly aligns with standard environmental markets (ISEAL/ISO 22095) to ensure low-CI claims match physical volumes.
Farm outputs generate multiple co-products across separate value chains, leading to duplicated reduction claims.
Enforces a centralized ledger and contractual locks to partition and distribute emissions data proportionately.
Enables parallel supply chain participants to safely co-invest in interventions and co-claim verified outcomes.
Unverified environmental claims and loose modeling face immediate compliance, regulatory, or legal liabilities.
Provides an automated documentation package (model manifests, certifier logs) for independent third-party validation.
Delivers transparent, separate tracking of emissions reductions and land-based carbon removals.
We had the commitments. What we didn’t have was data that could survive scrutiny. Arva gave us field-level numbers we can actually stand behind.
Most platforms apply spend-based or industry-average emission factors to your procurement volume. SBTi V2.0 now explicitly calls for primary supplier data in material categories. Arva provides field-level data with a traceable chain of custody, that holds up under verification.
Yes. Arva handles farmer engagement, data collection, and methodology documentation across your existing network, without manual work from your team.
Yes. Arva handles farmer engagement, data collection, and methodology documentation across your existing network, without manuaFLAG v1.2 (effective March 2026) sets specific measurement and reporting requirements for food and ag companies, including how land-use emissions and removals must be quantified. Arva’s methodology is built to meet those requirements at the field level.l work from your team.
Take the 5-minute assessment. It maps your current setup against what auditable Scope 3 data requires and shows you exactly where the gaps are.
AUDITABLE AGRICULTURAL SCOPE 3 DATA
Take Arva’s free Audit Risk Diagnostic to uncover hidden vulnerabilities in your Scope 3 data before they become reporting risks.
Heavy reliance on default data leaves your sustainability claims open to regulatory and audit challenge.
With Science Based Targets initiative FLAG 2.0 and stricter assurance standards, modeled averages are no longer enough.
Transition from background assumptions to auditable, field-level primary data.
Regulatory frameworks and investor-grade assurance processes are increasingly requiring primary, supplier-level data over industry averages.
EXPLORE MORE →Regulatory frameworks and investor-grade assurance processes are increasingly requiring primary, supplier-level data over industry averages.
EXPLORE MORE →Demonstrating measurable, attributable progress requires a data infrastructure that many companies are still building.
EXPLORE MORE →Take the quiz and get instant, personalized results for free.
CALCULATE YOUR AUDIT RISK
Our Approach
Build a GHG Protocol-compliant Category 1 Scope 3 inventory. Transition from generalized secondary datasets toward emission factors grounded in real, on-farm activity data.
Connect reported GHG outcomes to your sourcing regions through Mass Balance Chain of Custody tracking. Digital twin tokens follow each bushel from its exact origin through every point of aggregation, preventing overclaiming and double counting.
Drive direct, verifiable mitigation outcomes within your actual supply shed. Arva’s framework delivers verified, defensible carbon insets that integrate into your Scope 3 inventory and support your SBTi FLAG targets.
Traditional Scope 3 tracking relies on generic industry averages or spend-based secondary data that fail to reflect actual supply chain improvements.
Captures actual cradle-to-farm-gate practice data directly from suppliers and growers, including tillage, cover crops and specific nitrogen use.
Replaces background assumptions with granular, data-driven Program Emission Factors.
Crops are naturally mixed and blended at elevators or mills, breaking the physical link between reported GHG data and the buyer.
Tokenizes every bushel at harvest with non-fungible assets containing exact geospatial origin and carbon intensity scores.
Strictly aligns with standard environmental markets to ensure low-CI claims match physical volumes.
Farm outputs generate multiple co-products across separate value chains, leading to duplicated reduction claims.
Enforces a centralized ledger and contractual locks to partition and distribute emissions data proportionately.
Enables parallel supply chain participants to safely co-invest in interventions and co-claim verified outcomes.
Unverified environmental claims and loose modeling face immediate compliance, regulatory or legal liabilities.
Provides an automated documentation package, including model manifests and certifier logs, for independent third-party validation.
Delivers transparent, separate tracking of emissions reductions and land-based carbon removals.
We had the commitments. What we didn’t have was data that could survive scrutiny. Arva gave us field-level numbers we can actually stand behind.
Most platforms apply spend-based or industry-average emission factors to your procurement volume. SBTi V2.0 now explicitly calls for primary supplier data in material categories. Arva provides field-level data with a traceable chain of custody that holds up under verification.
Yes. Arva handles farmer engagement, data collection and methodology documentation across your existing network, without manual work from your team.
FLAG v1.2 sets specific measurement and reporting requirements for food and agricultural companies, including how land-use emissions and removals must be quantified. Arva’s methodology is built to meet those requirements at field level.
Take the 5-minute assessment. It maps your current setup against what auditable Scope 3 data requires and shows you exactly where the gaps are.
Find out in under 5 minutes. Instant results.
Most platforms apply spend-based or industry-average emission factors to your procurement volume. SBTi V2.0 now explicitly calls for primary supplier data in material categories. Arva provides field-level data with a traceable chain of custody, that holds up under verification.
Yes. Arva handles farmer engagement, data collection, and methodology documentation across your existing network, without manual work from your team.
Yes. Arva handles farmer engagement, data collection, and methodology documentation across your existing network, without manuaFLAG v1.2 (effective March 2026) sets specific measurement and reporting requirements for food and ag companies, including how land-use emissions and removals must be quantified. Arva’s methodology is built to meet those requirements at the field level.l work from your team.
Take the 5-minute assessment. It maps your current setup against what auditable Scope 3 data requires and shows you exactly where the gaps are.
✓ A personalized Scope 3 Risk Score
✓ Key risk areas identified
✓ Recommended next steps
✓ Optional consultation with an Arva expert
