Arjun Nair
The EU Deforestation Regulation (EUDR) came into force in June 2023, and with its December 2024 compliance deadline for large operators now behind us, the agriculture industry is rapidly confronting an uncomfortable truth: most agribusinesses cannot demonstrate with confidence that their cocoa — or indeed any forest-risk commodity — was grown on land free from deforestation. Traceability, long discussed but rarely delivered, is now a legal requirement. And the first mile remains the hardest problem to solve.
This article examines how forward-thinking agribusinesses are tackling first-mile traceability for cocoa — a challenge that shares remarkable parallels with sustainable cotton supply chain verification. The lessons are directly applicable to cotton brands and retailers navigating their own traceability obligations under emerging frameworks.
What Is EUDR and Why Does the First Mile Matter?
The EU Deforestation Regulation requires companies placing specific commodities — including cocoa, coffee, cattle, palm oil, soy, timber, and rubber — on the EU market to demonstrate that their products were not produced on land deforested after December 31, 2020. The regulation demands:
- Geo-location data for the precise plot of land where a commodity was produced
- Evidence that production complies with relevant country-of-origin laws
- A risk assessment and mitigation framework for each operator's supply chain
- Due diligence statements available for regulatory inspection
The "first mile" — the journey from farmer's field to first aggregation point (cooperative, buying station, mill) — is where traceability typically breaks down. This is precisely where data collection is hardest: smallholder farmers may have no formal land titles, mobile connectivity is poor, and literacy levels may limit digital self-reporting.
The Scale of the Problem
Over 70% of the world's cocoa is produced by an estimated 5–6 million smallholder farmers, most in West Africa. Only a fraction of these farmers have formal land title documentation — making geo-location evidence collection not just a technology challenge, but a land governance challenge too.
Three Approaches to First-Mile Traceability
Agribusinesses are deploying three broadly distinct approaches to close the first-mile gap. Each has different cost profiles, data quality levels, and scalability characteristics.
1. Mobile Data Collection by Field Agents
The most common approach currently is training and deploying field agents — either company staff or cooperative extension workers — with mobile devices running structured data collection apps. Field agents visit farms, collect geo-tagged plot boundaries using GPS, photograph boundary markers, and capture farmer identity data.
Companies including Barry Callebaut and Olam have deployed versions of this model across their West African supply chains. Key advantages include human verification of data quality and the ability to navigate complex local contexts. Disadvantages include high cost per farm (typically $8–25 per verified farm-season) and difficulty achieving annual re-verification at scale.
2. Satellite-Based Remote Verification
Satellite imagery analysis is rapidly maturing as a complementary or standalone traceability tool. High-resolution commercial satellites — including Planet Labs' SkySat constellation and Maxar's WorldView series — can now capture sub-metre imagery suitable for farm plot delineation and deforestation monitoring.
AI-powered plot boundary detection algorithms can process satellite imagery to automatically identify and map smallholder farm boundaries at a fraction of the cost of physical field visits. Companies like Satelligence and Satellie have built specialised platforms for EUDR-grade satellite traceability.
accuracy achieved by leading AI satellite farm verification models — sufficient for EUDR due diligence risk assessment requirements in low-deforestation-risk landscapes
Satellite approaches are most effective in open-canopy agricultural landscapes (like cotton-growing regions in India, or cocoa in established plantation zones) where crop signatures are distinct. They are less reliable in complex agroforestry systems where cocoa grows under forest shade canopy.
3. Blockchain-Backed Digital Identity for Farmers
The most sophisticated — and most promising long-term — approach assigns individual digital identities to farmers, linked to immutable blockchain records of farm geo-location, production history, and certification status. Each transaction in the supply chain (sale to cooperative, processing at mill, export shipment) references and builds on this digital identity record.
CGF Parallel: Cotton Traceability
CG Foundation's AI-powered cotton traceability platform applies precisely this blockchain digital identity approach to 340,000 cotton farmers across 12 Indian states. Every CGF-enrolled farmer has a verifiable digital farm profile — including GPS plot boundaries, production data, and certification status — that can be accessed by brands and regulators through CGF's secure supply chain portal.
Data Governance: The Overlooked Challenge
Technical traceability solutions are necessary but not sufficient. Several agribusinesses have discovered that collecting farm geo-location data raises significant data governance questions that, if handled poorly, can undermine both trust and legal compliance:
- Farmer consent: GDPR and equivalent frameworks require informed consent for personal data collection. Many early EUDR traceability programmes lacked adequate consent processes.
- Data sovereignty: Farmers — and their organisations — have legitimate interests in how their farm data is used commercially. Data collected for traceability can have value beyond compliance; clear data use policies are essential.
- Security: Farm geo-location data in conflict-affected regions can present physical safety risks if it falls into the wrong hands. Robust data security protocols are not optional.
- Interoperability: Multiple buyers may approach the same farmer for data collection. The industry urgently needs shared data standards to avoid burdening farmers with repeated data collection demands.
"The farmers whose data we collect are not just a compliance resource. They are rights-holders with legitimate interests in how their information is used. Any serious traceability programme has to put farmer data governance at the centre, not as an afterthought."
The Cost Reality: What EUDR Traceability Actually Costs
One of the most significant barriers to EUDR-grade first-mile traceability is cost. Industry estimates for full farm-level verification vary considerably depending on approach, geography, and existing data infrastructure:
- Field agent model: $15–30 per farm per year (including agent cost, device, connectivity, platform)
- Satellite + AI (without field verification): $0.50–3.00 per farm per year at scale
- Hybrid satellite + spot-check field verification: $4–8 per farm per year
- Blockchain digital identity (amortised over 5 years): $6–12 per farm in Year 1, $2–4 per farm in subsequent years
For a major cocoa trader sourcing from 500,000 farms, even the cheapest satellite-only approach implies annual costs of $250,000–$1.5 million. The field agent model would run $7.5–15 million per year. These costs are significant but small relative to the financial risk of EU market exclusion — which for major traders could represent billions in annual revenue.
What Cotton Brands Can Learn
While EUDR does not currently apply to cotton, the regulatory trajectory is clear. The EU's broader Corporate Sustainability Due Diligence Directive (CSDDD) requires supply chain due diligence across all sectors for companies above certain revenue thresholds. Cotton brands sourcing from India, Bangladesh, or Pakistan face growing pressure from investors, NGOs, and early-moving regulatory frameworks to demonstrate farm-level traceability.
The cocoa sector's EUDR experience offers cotton stakeholders a preview of what's coming — and the opportunity to build traceability infrastructure before regulatory requirements crystallise into legal obligations. The agribusinesses best positioned for EUDR compliance today are those that invested in traceability systems 3–5 years before compliance was required.
Act Now, Not Later
CG Foundation has been building farm-level traceability infrastructure for Indian cotton since 2015 — a full decade before the regulatory pressure arrives. Cotton brands partnering with CGF today are investing in compliance-ready supply chains before compliance becomes mandatory. Contact our partnerships team to learn more.
Conclusion: Traceability as Competitive Advantage
The EUDR has transformed supply chain traceability from a voluntary sustainability commitment into a legal baseline. For cocoa — and soon for many other commodities including cotton — the question is no longer whether to invest in farm-level traceability, but how to do it cost-effectively, responsibly, and at scale.
The agribusinesses that will thrive in the post-EUDR landscape are those that treat traceability not as a compliance cost but as a data asset — one that can drive better procurement decisions, reduce supply chain risk, build consumer trust, and ultimately create competitive advantage in markets where sustainability credentials command premium pricing.
For cotton brands reading this: the first-mile problem looks remarkably similar whether you're tracking cocoa in Ghana or cotton in Rajasthan. The technology solutions are maturing rapidly. The farmer engagement models are being proven at scale. The question is whether your supply chain will be traceable when the regulatory spotlight arrives — or whether you'll be scrambling to catch up.
