--- slug: eudr-due-diligence type: pattern summary: "Proving covered commodities are legal and deforestation-free after 2020 through plot geolocation, risk assessment, and a due-diligence statement filed with the EU." created: 2026-06-09 updated: 2026-06-09 related: agricultural-remote-sensing: relation: uses note: "EUDR Deforestation-Free Due Diligence uses Remote Sensing for Agriculture to check whether a geolocated plot was forested after the 2020 cutoff and to monitor for change." food-blockchain-traceability: relation: complements note: "EUDR Deforestation-Free Due Diligence complements Blockchain Traceability for Food when custody records must carry plot geolocation and due-diligence references across the chain." globalgap: relation: complements note: "EUDR Deforestation-Free Due Diligence complements GLOBALG.A.P. but is not satisfied by it, because a certificate is a risk input rather than a substitute for due diligence." outcome-practice-standards: relation: contrasts-with note: "EUDR Deforestation-Free Due Diligence contrasts with Outcome-Based vs Practice-Based Standards by demanding conclusive, verifiable evidence rather than a practice claim or certificate." vendor-locked-traceability: relation: violated-by note: "EUDR Deforestation-Free Due Diligence is violated by Vendor-Locked Traceability when compliance geolocation and statements live in a proprietary stack the operator cannot export." regenerative-washing: relation: prevents note: "EUDR Deforestation-Free Due Diligence prevents Regenerative-Washing on the deforestation axis by converting a deforestation-free claim into a verifiable proof burden." food-lca: relation: informs note: "EUDR Deforestation-Free Due Diligence informs Life-Cycle Assessment (LCA) for Food by establishing the land-use-change boundary for covered commodities." food-sovereignty: relation: complements note: "EUDR Deforestation-Free Due Diligence complements Food Sovereignty as a tension to manage, because the compliance burden can exclude smallholders who cannot produce plot geolocation." --- # EUDR Deforestation-Free Due Diligence > **Pattern** > > A named solution to a recurring problem. *Prove that covered commodities placed on or exported from the EU market are legal and not linked to deforestation after 2020, through plot geolocation, risk assessment, and a filed due-diligence statement.* *Also known as: EUDR compliance, Regulation (EU) 2023/1115 due diligence, deforestation-free due diligence.* > **📝 Where the name comes from** > > EUDR is the EU Deforestation Regulation: Regulation (EU) 2023/1115, which replaced the older Timber Regulation. The word that does the work is "due diligence." It does not mean a certificate or a label. It means the operator placing goods on the market carries the legal duty to gather information, assess the risk that the goods are tied to deforestation, mitigate that risk where it is more than negligible, and sign a statement to that effect. The proof burden sits on whoever sells into the EU, not on the farm at the far end of the chain. ## Understand This First - [Remote Sensing for Agriculture](agricultural-remote-sensing.md) — the satellite and imagery layer that checks whether a plot was forested after the cutoff date. - [GLOBALG.A.P.](globalgap.md) — a certification scheme that informs risk assessment but does not satisfy the regulation on its own. ## Context The pattern operates at the point where a covered commodity crosses into or out of the EU single market. The covered goods are cattle, wood, cocoa, soy, palm oil, coffee, and rubber, plus a long list of derived products: leather, chocolate, furniture, printed paper, tires, soy meal, and so on. The actor who carries the obligation is the operator who first places the product on the market or exports it, with downstream traders inheriting reduced duties depending on size. The setting is not a single farm. It is a chain that may run from a smallholder plot in West Africa or the Brazilian Cerrado, through a cooperative, an exporter, a shipper, an importer, and a brand, before the product reaches a European shelf. Each link knows its own piece. The regulation forces one party to assemble the whole picture down to the production plot and attest to it. Entry into application sits at 30 December 2026 for large and medium operators and 30 June 2027 for most micro and small operators, which makes this a near-term traceability deadline rather than an abstract policy debate. ## Problem A buyer wants to keep selling cocoa, coffee, or soy into Europe. A regulation now says the buyer must prove, plot by plot, that the goods are not linked to forest loss after 31 December 2020 and were produced legally in the country of origin. The buyer doesn't own the farms, may not know exactly which plots the beans came from, and has historically relied on certificates and supplier assurances rather than coordinates. The recurring difficulty is that traceability stops short of the plot. Aggregation mixes harvests from many farms. Smallholders may have no surveyed boundary and no GPS trace. Certificates speak to practice or process, not to the specific geolocation the regulation demands. The buyer faces a hard date, a list of data it does not yet hold, and penalties for getting it wrong: fines scaled to EU turnover, confiscation of goods, and exclusion from public procurement. ## Forces - **Plot resolution versus aggregation.** The regulation wants coordinates for the production plot, while real supply chains blend lots from many farms before anyone records where they came from. - **Conclusive evidence versus certificate convenience.** A certification scheme is easier to point at, but the regulation asks for conclusive and verifiable information, and treats a certificate as one risk input rather than proof. - **Compliance cost versus smallholder inclusion.** The geolocation and documentation burden can quietly drop smallholders who cannot produce the data out of EU-bound chains. - **Country risk versus individual plot risk.** The Commission's country benchmarking sets a baseline of low, standard, or high risk, but a low-risk country still contains high-risk plots, and a high-risk benchmark raises the diligence bar for everyone in it. - **Data ownership versus chain visibility.** Operators need geolocation to flow up the chain, while the parties who hold it may guard it as commercial or personal data. ## Solution **Build the due-diligence workflow as a geospatial data pipeline, then file the statement — do not treat compliance as a document to collect at the border.** The regulation decomposes into three duties: gather information, assess risk, and mitigate risk where it is more than negligible. Each duty has a concrete data shape. Start with geolocation. For every plot of land where the covered commodity was produced, collect coordinates: a single point for plots under four hectares, and a polygon for larger plots. The EU Information System accepts mapped points and polygons and supports bulk GeoJSON uploads, so the practical task is to assemble a clean, deduplicated set of plot geometries tied to production dates or date ranges, supplier identities, and country of production. This is the spine of the file; everything else references it. Assess risk against the cutoff and the country benchmark. For each plot, the question is whether forest was present on 31 December 2020 and lost afterward, and whether production was legal under the country's land, environmental, labor, and tax rules. [Remote Sensing for Agriculture](agricultural-remote-sensing.md) does the deforestation check: compare the plot geometry against forest-cover baselines and change-detection layers for the relevant years. The Commission's country benchmarking sets the floor. Standard and high-risk origins demand deeper verification than low-risk ones, and a high-risk benchmark removes the simplified path. Mitigate where the risk is more than negligible. Mitigation means additional information, independent surveys, third-party audits, or capacity support to suppliers until the residual risk is negligible. Where it cannot be brought down, the goods stay off the market. Then file the due-diligence statement through the Information System, referencing the geolocation and the assessment. The statement carries legal weight: the operator attests that diligence was exercised and that the risk is negligible. Keep the compliance record portable and separate from any one buyer's platform. Plot geometries, production dates, supplier records, and statements should be exportable in standard formats and held where the operator and its suppliers can reuse them across customers and across reporting years. A compliance dataset locked inside one buyer's portal becomes a liability the next time a different buyer asks for the same plots. > **⚠️ A certificate is not a due-diligence statement** > > GLOBALG.A.P., organic, Rainforest Alliance, and similar schemes can feed the risk assessment, but none of them discharges the obligation. The operator still gathers geolocation, runs the risk assessment, and signs the statement. Treating a certificate as compliance is the most common way operators discover, late, that they are not covered. ## How It Plays Out **A cocoa importer assembling plot polygons.** A European chocolate maker sources cocoa from cooperatives in Côte d'Ivoire and Ghana. Historically it bought certified beans and trusted the cooperative's books. Under EUDR it now needs, for each delivery, the geolocation of every farm that contributed. The cooperatives run GPS mapping campaigns, and the importer builds a plot registry it can screen against forest-change layers. The hard part isn't the satellite check; it's collecting clean coordinates from thousands of smallholders, deduplicating overlapping claims, and keeping the registry current as members come and go. **A coffee trader hitting the country benchmark.** A trader sourcing from a country the Commission benchmarks as standard or high risk cannot lean on the simplified diligence path. Every lot needs the full assessment, and the trader has to decide whether the margin on that origin justifies the verification cost. Some traders narrow their supplier base to plots they can document, which concentrates buying on larger, better-mapped farms and raises the smallholder-exclusion concern the regulation's critics name. **A soy and cattle chain with land-use-change exposure.** Soy meal and beef carry deforestation risk through land conversion in South America. Here the geolocation and forest-change check feeds directly into [Life-Cycle Assessment (LCA) for Food](food-lca.md), because the land-use-change boundary the LCA needs is the same boundary the regulation polices. An operator that builds the EUDR pipeline gets much of the LCA land-use-change input as a byproduct. **A traceability stack that has to carry coordinates.** A brand running [Blockchain Traceability for Food](food-blockchain-traceability.md) finds that its custody events now need to reference plot geolocation and due-diligence statement identifiers, not just lots and shipments. The ledger doesn't satisfy the regulation, but it can carry the references so the proof travels with the product. If those references live only in a vendor's closed schema, the operator has recreated the export problem the regulation makes expensive. ## Consequences **Benefits** - The operator can keep selling covered commodities into the EU and can show, plot by plot, why the goods are deforestation-free and legal. - Plot geolocation built for compliance is reusable: it feeds land-use-change accounting, sourcing maps, and other reporting once it exists. - A deforestation-free claim stops being marketing and becomes a verifiable proof burden, which raises the cost of false claims across the category. - Forest-change monitoring tied to real plot geometries gives the buyer an early signal of supplier risk, not just a year-end audit result. **Liabilities** - The geolocation and documentation burden can exclude smallholders who cannot produce coordinates, concentrating EU-bound trade on larger, better-resourced farms. - Building and maintaining a plot registry across thousands of suppliers is expensive, ongoing work, not a one-time data pull. - Country benchmarking is coarse: a low-risk benchmark does not clear an individual high-risk plot, and a high-risk benchmark raises the bar for compliant operators in the same country. - Geolocation is commercial and personal data; gathering it raises privacy, data-ownership, and consent questions the chain must resolve. - Certificates and supplier assurances that operators relied on for years do not discharge the obligation, so prior compliance investments may not transfer. > **Disclaimer** > > Compliance with EUDR, FSMA, ISO 22000, GLOBALG.A.P., and similar standards requires > accredited certification by qualified third parties and current legal advice. > Entry-into-application dates, benchmarking, and guidance change; consult qualified > counsel and the official EU sources before relying on any reading here. ## Sources - [Regulation (EU) 2023/1115](https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32023R1115) is the legal text that defines covered commodities, the deforestation-free and legality tests, the 31 December 2020 cutoff, and the due-diligence obligation. - The European Commission's [Deforestation Regulation overview](https://environment.ec.europa.eu/topics/forests/deforestation/regulation-deforestation-free-products_en) sets out the scope, the operator and trader duties, and the entry-into-application timeline. - The Commission's [Information System for the Deforestation Regulation](https://green-forum.ec.europa.eu/nature-and-biodiversity/deforestation-regulation-implementation/information-system-deforestation-regulation_en) documents how due-diligence statements are filed and how plot geolocation, points, polygons, and GeoJSON uploads are handled. - The Commission's guide to [understanding due diligence](https://green-forum.ec.europa.eu/nature-and-biodiversity/deforestation-regulation-implementation/understand-due-diligence_en) explains the information-gathering, risk-assessment, and risk-mitigation steps and the role of country benchmarking. - The FAO's work on [forest monitoring and deforestation](https://www.fao.org/forestry/en/) provides the underlying forest-definition and remote-sensing context that the regulation's deforestation test draws on. --- - [Next: Certification and Standards](certification-standards.md) - [Previous: Sensor Networks and IoT in Agriculture](agricultural-iot-networks.md)