Scope 3 Agriculture Data for CPG Companies

From supply chain estimates to verifiable proof for Scope 3 agriculture

Turn Scope 3 agriculture from a modeling exercise into an audit-ready asset. ChrysaLabs measures soil carbon directly in your supplier fields, giving CPG sustainability teams primary data they can defend to auditors, regulators, and buyers.

Welcome to the un-hype

In Scope 3 agriculture, hype is intent proof is primary data and defensible carbon measurements.

As scrutiny rises, stakeholders demand credible reporting. We deliver field-level data from your supply chain to validate claims, reduce uncertainty, and turn Scope 3 commitments into auditable, risk-ready assets.

Memberships and accreditations

Carbon measurement field trial validating a biological product's impact on soil carbon

Beyond estimates, beyond greenwashing

Replace broad, modeled estimates with robust primary data. We deliver scientific-grade proof for carbon footprint measurement so your sustainability and insetting claims stand up to scrutiny. This is how you reduce exposure to esg greenwashing risk while strengthening trust in value chain emissions performance.

Field-level data for full transparency

Our platform delivers granular, auditable data from the first mile of your supply chain enabling accurate carbon measure processes directly tied to real on-farm activity. This provides unprecedented insight into ghg scope 3 drivers, interventions, and performance across your agricultural supply chain.

The antidote to reporting uncertainty

We deliver audit-ready data to support scope 3 agriculture and reliable Scope 3 reporting. This enables accurate value chain emissions measurement, strengthens carbon emissions reporting, and supports data-driven ESG risk management across the agricultural supply chain.

Our only surprise is no surprises

Our platform quantifies supplier impact with reliable carbon measurements across the agricultural supply chain. This supports credible scope 3 agriculture, enabling accurate Scope 3 reporting and clearer value chain emissions measurement.

Discover the Carbon Platform

We de-risk carbon projects with rigorous science, solid data, and lower costs

Our four-step process turns Scope 3 agriculture data collection into a repeatable, audit-ready pipeline — from sampling design to reporting.

Smart Sampling Design

We begin by optimizing the sampling layout using uncertainty-driven design and our own stratification + DSM layers to ensure every sample adds maximum information value.

High-Resolution Field Mapping

ChrysaLabs probes provide dense, rapid in-field measurements that map soil variability in real time, strengthening strata boundaries and reducing required lab samples.

Automated Data Management & Traceability

All probe, lab, and spatial data flow into our automated data pipeline, ensuring seamless QA/QC, version control, and project-ready documentation at scale.

Advanced Modelling & Predictive Accuracy

Our modelling framework integrates probe signals, lab carbon, and geospatial features to produce highly accurate carbon predictions while minimizing statistical uncertain

Profit Maximization & Uncertainty Reduction

By combining optimal design, dense field mapping, strong data infrastructure, and high-performance modelling, we deliver lower uncertainty, higher carbon estimates, and ultimately greater credit revenue for the

Analyst report: the rise of the next generation of carbon credits

Read our report on the state of the carbon credit market and what is driving confidence and buyers towards high-integrity assets

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Let’s talk soil carbon data for real carbon asset decisions

Frequently Asked Questions

Common questions from CPG sustainability and supply chain teams about Scope 3 data and ChrysaLabs.

How is ChrysaLabs different from the modeled Scope 3 estimates we get today?

Most Scope 3 agricultural emissions estimates rely on regional averages and modeled assumptions, not measurements from your actual supply base. The GHG Protocol's Land Sector and Removals Guidance (GHG P LSRG), published in 2026, states that companies reporting CO2 removals must use higher quality methods and primary data, and cites soil carbon measurements from a specific farm as an example of that primary data, as opposed to regional averages or proxy data from another farm. ChrysaLabs sends probes into real fields across your supplier network and measures soil carbon directly, replacing assumptions with primary data tied to specific farms and practices.

Can this data reduce our exposure to greenwashing accusations?

Yes. Global average data on carbon stocks for a given climate type, ecological zone, and soil type (i.e., IPCC Tier 1 default carbon stock and stock change factors) is not sufficient to meet the empirical data requirement in GHG P LSRG. Greenwashing risk usually comes from claims that outpace the evidence behind them — modeled numbers presented as measured results. By grounding your Scope 3 reporting in field-level, auditable data specific to the carbon pools in your operations or value chain, you can show exactly how a claim was derived and defend it if challenged by regulators, NGOs, or your own auditors.

How granular is the data? Can we trace performance back to individual growers or farms?

Yes. Each measurement is tied to a specific field and grower, so you can see performance at the individual grower level rather than only as an aggregated supply chain average. This supports both internal supplier engagement programs and disclosure requirements that increasingly ask for primary data.

Does this work across a large, fragmented supplier base, or only for a few flagship farms?

Our platform is built to scale across many fields and suppliers at once, with a single automated pipeline handling probe, lab, and spatial data together. That keeps reporting consistent even when your supply base spans different growers, regions, and practices.

How does this fit with our existing Scope 3 reporting process and frameworks like the GHG Protocol?

We provide the primary, field-level activity data that plugs into your existing Scope 3 accounting, replacing default emission factors (i.e. IPCC Tier 1) with empirical data specific to the land carbon pools in your operations or value chain, and measured outcomes where your methodology allows it. ChrysaLabs also supports resampling at least every five years to estimate carbon stock changes using a measurement-based approach. Our reports are structured to be audit-ready, so your sustainability team can incorporate them without rebuilding your process from scratch.