Why I Started TraceBean: The Upstream EUDR Problem Nobody Talks About

Everyone is focused on DDS generation. The real bottleneck is what happens before that — when raw supplier files arrive with swapped coordinates, broken polygons, and empty fields.

Introducing TraceBean: Our Requirentment For Full Coffee Traceability
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70–80% of Farm Geo-Data Errors Are Auto-Fixable. Here's What the Other 20% Looks Like

Not all supplier data problems are equal. Some fix themselves in seconds. Others require a field survey.

TraceBean can fix 70–80% of Farm Geo-Data Errors
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CSV, GeoJSON, KML, Excel — What We Actually See When Supplier Files Arrive for EUDR Compliance

Every format has its own failure modes. Here is what breaks, and why.

Multi-format data failure modes for EUDR compliance
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Same Regulation, Very Different Data Problems: EUDR Across Coffee, Cocoa, Palm Oil, and Soy

The EU Deforestation Regulation applies to all four commodities. The upstream data challenges are not the same.

Same EUDR regulation, four very different upstream data challenges.
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Why Thousands of Smallholder Farms Make EUDR Data Quality Harder, Not Easier

Scale is not the problem. Heterogeneity is.

Why thousands of smallholder farms make EUDR data quality harder, not easier.
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The Point vs. Polygon Problem: Why One Common EUDR Error Can't Be Auto-Fixed

A GPS point and a farm polygon are not the same thing. For EUDR compliance, that distinction matters more than most importers realise — and no software can bridge the gap.

Why thousands of smallholder farms make EUDR data quality harder, not easier.
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One Farm Without a Polygon Can Block an Entire Shipment

In coffee supply chains, geo-data problems don't stay at the farm level. They travel upstream — and surface at the worst possible moment.

Washing station pooling and EUDR compliance
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Your Coffee Farm Is Legal. The Satellite Thinks It's a Forest.

Agroforestry is explicitly excluded from EUDR's definition of forest. The satellite maps used to enforce the regulation don't always know the difference — and the numbers are alarming.

Agroforestry coffee under shade trees — EUDR satellite misclassification
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The EU Just Published Its Final EUDR FAQ. Here Is What Importers Need to Know.

Version 5 of the EUDR implementation FAQ was released in April 2026. The Commission has closed the door on further delays and further rewrites. Here is what changed — and what it means for green coffee importers working against the December deadline.

Agroforestry coffee under shade trees — EUDR satellite misclassification
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Under EUDR, the Importer Is Responsible. Not the Supplier.

EUDR places full compliance responsibility on the operator — the European importer. Not on the producer. Not on the exporter. Understanding what that means in practice changes how you should think about supplier geo-data.

EUDR operator responsibility — the importer bears full compliance responsibility
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From Farm to DDS: Where Data Quality Breaks Down

A green coffee importer's geo-data travels through six distinct stages before it becomes a Due Diligence Statement. Problems can enter at every one of them — and most are invisible until someone checks.

From farm to DDS — where geo-data quality breaks down across the supply chain
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Your Farm Is in Ethiopia. Your Coordinates Say Otherwise.

EUDR requires WGS84. Farm geo-data arrives in dozens of local coordinate systems. The difference is invisible in the file — and can move a farm hundreds of metres from its real location.

Coordinate system errors in EUDR farm geo-data — WGS84 vs local projections
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The Farm Is in Colombia. The Coordinates Are in the Atlantic Ocean.

A country bounding box check is the simplest sanity test in geo-data validation. It is also the test that catches errors no other check can find — because the coordinate looks completely normal until you ask where it actually is.

Country bounding box check — farm coordinates outside expected country boundary
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The Same Plot of Land Cannot Produce Coffee for Two Different Farmers. But Your Geo-Data Says It Does.

Duplicate farm polygons are more common than most importers realise. They are not always fraud. But they are always a problem — for data integrity, for deforestation checks, and for EUDR compliance.

Duplicate farm polygons in EUDR geo-data — data integrity problem
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What Good Supplier Guidelines Look Like — Three Real Examples

Daarnhouwer, EFICO, and the Rainforest Alliance have each published their own geo-data requirements for suppliers. Comparing the three reveals what good guidance looks like — and what no guideline can do on its own.

Comparing supplier geo-data guidelines from Daarnhouwer, EFICO, and Rainforest Alliance
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Is It Possible Your Satellite Data Is Missing Brazil's Biggest Deforestation Story?

The Cerrado is Brazil's second-largest biome and the engine behind much of its agricultural expansion. Global forest-monitoring satellites struggle to see it — because it was never built to look like a forest in the first place.

Brazilian Cerrado savanna versus Amazon rainforest in satellite deforestation monitoring
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Your Sustainability Team Is Managing More Than EUDR. Geo-Data Doesn't Have to Be Part of That Pile.

EUDR rarely sits alone on a sustainability team's desk. It sits in a pile with everything else competing for the same hours. Geo-data validation is one of the few items in that pile that can actually be handed off.

Sustainability team managing multiple EU regulations alongside EUDR
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Is It Possible That Clearing Less Than Half a Hectare Doesn't Count as Deforestation?

EUDR's forest definition has a built-in minimum size: 0.5 hectares. Below that, land isn't legally a forest, however dense the trees. What that means for smallholder farms — and for clearing that happens in pieces too small for any single check to catch.

EUDR 0.5 hectare forest definition threshold and smallholder farms
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A Hansen Flag Answers a Different Question Than EUDR Asks

Hansen Global Forest Change measures tree cover loss. EUDR asks whether forest was cleared and replaced with a regulated commodity after 31 December 2020. These are not the same question — and treating them as interchangeable is the most common mistake in EUDR deforestation screening.

Hansen tree cover loss signal versus EUDR deforestation definition
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Is It Possible the EUDR Information System Ignores Most of What Your Supplier Sent You?

The EUDR Information System accepts exactly four optional GeoJSON properties. Everything else in your supplier's file — farm name, farmer ID, harvest date, variety, certification status — is silently ignored on upload.

EUDR Information System accepts four GeoJSON properties, everything else ignored
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We Uploaded Eight Broken Farm Polygons to the EUDR Information System. It Accepted All of Them.

We tested the EUDR Information System acceptance server with swapped coordinates, polygons in the wrong country, a farm in the Atlantic Ocean, and a self-intersecting geometry. The system accepted every one without warning or error.

Eight broken polygons accepted by EUDR Information System without warning
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Acceptance Is Not Safety: What Happens After the EUDR Information System Says Yes

A reply to our last post made a fair point: competent authorities will eventually catch bad geo-data. That's true. It's also exactly why validation has to happen before submission — not after.

Same underlying error, two different moments of discovery — and two entirely different cost categories.
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The Delay Bought You 12 Months. Your Supplier List Didn't Get 12 Months Younger.

EUDR has been postponed again. Nearly every compliance platform is telling you the same thing: don't get complacent. True, but incomplete — it isn't complacency that's the risk. It's what happens to your supplier data while you wait.

Timeline showing the EUDR application date moved to December 2026, with supplier farm data continuing to change underneath it
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Coffee Canopy Partnership Maps the Forest — Who Validates the Farm?

Seven of the world's largest coffee traders and roasters just built something the industry needed: a shared, high-resolution view of deforestation risk across entire coffee landscapes. It's a genuinely different problem from the one that sits underneath every individual DDS — and worth being precise about which is which.

Diagram contrasting a landscape-scale coffee deforestation risk map with a single farm's DDS geolocation submission
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One Forest Signal Isn't Enough: Why EUDR Risk Screening Needs Three Different Questions, Not One

Hansen Global Forest Change, JRC's GFC2020 and GFT2020 all get filed under "the deforestation dataset." They're not versions of the same thing — they answer three different questions, and mixing them up is easy to do and expensive to get wrong.

Diagram comparing Hansen Global Forest Change, JRC GFC2020, and JRC GFT2020 as three different forest-risk questions
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Everyone Says Their Geo-Data Is "Handled." Here's What That Usually Doesn't Include.

It's the most common response to any conversation about farm geo-data readiness — and it's usually true. It's also usually answering a narrower question than the one that determines whether a DDS actually gets accepted.

Diagram splitting geo-data readiness into two separate claims: collected and validated
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Coffee and EUDR, By the Numbers: Origins, Importers, and Where Validation Actually Matters

First in a series looking at each of EUDR's seven commodities on its own terms — where the EU actually sources it, why it's regulated at all, and an honest read on where TraceBean's kind of work matters most.

Map and chart of EU coffee import origins and top EU importing countries
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Cocoa and EUDR, By the Numbers: Origins, Importers, and Where Validation Actually Matters

Second in our commodity-profile series. Of the seven EUDR commodities, cocoa has one of the most direct, best-documented links to forest loss — and unlike coffee, there's no large consolidated origin to point to as the exception.

Map and chart of EU cocoa import origins and top EU importing countries
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Rubber and EUDR, By the Numbers: Origins, Importers, and Where Validation Actually Matters

Third in our commodity-profile series. Rubber was nearly left out of EUDR altogether — and a 2023 study suggests that would have been a significant mistake.

Map and chart of EU cocoa import origins and top EU importing countries
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Wood and EUDR, By the Numbers: A Different Kind of Commodity Entirely

Fourth in our commodity-profile series. Unlike coffee, cocoa or rubber, most of the EU's wood is grown inside the EU. The real question isn't where the volume comes from — it's whether anyone can reliably tell legal harvesting from illegal clearing on the specific tropical share that does.

Comparison of EU domestic timber production versus tropical timber imports, and the deforestation-versus-degradation detection gap
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Legal on Paper, Illegal on the Ground: What Three 2026 Investigations Found

A valid permit, a registered concession, a certified plot — none of it guarantees the satellite agrees. Three unrelated investigations this year found the same gap, on two continents, across two different commodities.

Diagram showing a legal permit document next to a satellite image of active deforestation on the same land parcel
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Soy and EUDR, By the Numbers: Two Frontiers, Not One Rainforest

Fifth in our commodity-profile series. Soy breaks every pattern the other four shared — industrial scale, not smallholder fragmentation. Its deforestation story doesn't sit in the Amazon anymore. It sits in a savanna and a dry forest most people have never heard of.

Map showing soy-driven deforestation pressure shifted from the Amazon into Brazil's Cerrado and the Argentina-Paraguay Gran Chaco
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Palm Oil and EUDR, By the Numbers: Where Certification Isn't the Same as Compliance

Sixth in our commodity-profile series. Palm oil has the industry's most established certification scheme of any EUDR commodity — and a growing body of evidence showing certification and deforestation-free are not the same claim.

Map of EU palm oil import origins declining over time, alongside a diagram of RSPO certification timing versus forest loss
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The Leakage Problem: Why Success in One Place Just Moves Deforestation to the Next

Cut off demand for deforested land in one protected area, and the pressure doesn't disappear. It finds the next place with weaker rules. Economists have a name for this, and we've now seen it in three different commodities from our own series.

Diagram showing deforestation pressure shifting from a protected region to an adjacent, less-protected region across soy, palm oil, and timber
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Cattle and EUDR, By the Numbers: The Commodity That Moves

Seventh and last in our commodity-profile series. Cattle drives more deforestation than any other EUDR commodity by a wide margin — and it's the only one where the thing being traced can walk between farms during its own lifetime.

Diagram showing cattle moving from a deforestation-linked ranch to an intermediary farm before reaching a slaughterhouse, illustrating cattle laundering
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Same Animal, Two Standards: How Leather Left the EUDR

The Commission's own research found leather could account for up to 17% of the deforestation risk linked to every commodity the regulation covers. It excluded leather from the regulation anyway.

Diagram showing one cow producing both meat, which remains regulated under EUDR, and hide, which was removed from scope in July 2026
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Market Leakage: What Happens to a Shipment That Fails EUDR

A follow-up to our piece on geographic leakage. EUDR only governs one market. A shipment that can't legally enter the EU doesn't stop existing — it can simply find a buyer somewhere the requirement doesn't apply.

Diagram showing a rejected EU shipment being redirected to alternative markets in the US and Asia with no equivalent deforestation regulation
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Why We Don't Auto-Fill Missing Polygons From Cadastral Data (Even Though We Could)

A supplier sends a single point for a farm larger than four hectares. A national land registry could supply a matching boundary in seconds. Here is why we flag the file instead of filling in the gap.

Diagram showing a farm centroid point sitting inside a much larger cadastral parcel boundary, with the actual cultivated area shown as a smaller shape nested inside it
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Detection, Interpretation, Decision: Why Collapsing Three Functions Into One Is Where This Goes Wrong

A satellite pixel changes colour. Somewhere between that pixel and a sourcing decision, three separate jobs — noticing, understanding, and deciding — routinely get flattened into one automated step. The flattening is the failure mode. The sensor is usually fine.

Diagram showing three separate stages — detection, interpretation, decision — with an arrow showing them collapsing into a single automated output
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Your Country's Risk Tier Doesn't Change What We Check — And Here's Why That Matters More Than Ever

One side says the list is too lenient. The other says it's too strict. Parliament has formally objected to it. A revision is coming in 2026. Through all of that, one requirement hasn't moved an inch.

Diagram showing three country risk tiers with a political dispute arrow pointing in opposite directions, and a fixed geolocation requirement bar running underneath all three tiers unchanged
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Sealing Bad Data Doesn't Make It Good Data

A blockchain can prove nobody touched a record after it was written. It cannot prove the record was right when it was written. A growing category of tools lets a buyer assume the second thing while only ever delivering the first.

Diagram of a wax seal stamped over a document containing a visibly wrong farm polygon, showing the seal proves the document is unchanged, not that its content is correct
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The Leather Loophole Isn't Alone — And Not Everyone Objecting Is an Environmentalist

Leather's exit from EUDR became final on 14 September, with no objections. The same raw-material-in, derivative-out pattern also removed vulcanised rubber goods from scope — and the loudest complaint about that one came from an industry association, not a conservation group.

Diagram showing three commodities — cattle, rubber, soy — each with a raw form still regulated under EUDR and a derivative form now excluded, with two different objection sources labelled: environmental groups and an industrial trade association
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Two Countries Already Built the Alternative to a Land Cadastre — Neither Is Finished

A generic land registry tracks the wrong boundary for the wrong reason. Vietnam and Ghana built something else instead: national infrastructure designed from the ground up for exactly this question. It's real, it's working, and it doesn't cover the whole country yet.

Map illustration showing Vietnam and Ghana with icons representing government agencies, industry partners, and field verification teams feeding into a shared national coffee and cocoa traceability database
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Two Pixels, Wrong — And You'd Never See It

We found a patch of forest, confirmed unchanged since 2007, that a leading satellite forest-cover product marks as non-forest. It's exactly two pixels wide. We checked, and you cannot see the error by eye — not at any zoom Google Earth will give you.

Satellite view of a forested hillside in Xishuangbanna, Yunnan, China, with plantation rows visible to the west and a pin marking the location of a two-pixel classification error inside continuous forest
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Instant Coffee Just Joined EUDR. The Blend Is the Data Problem.

Soluble coffee enters EUDR scope on 30 December 2027. The date looks far away. The supplier data it requires does not.

Timeline showing green and roasted coffee in EUDR scope from 30 December 2026 and soluble coffee (CN 2101 11 00) added from 30 December 2027, with the blend of many farm polygons behind one instant coffee product
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The Law Says Rubber Is Not Forest. The Maps Are Still Catching Up.

EUDR excludes rubber plantations from its definition of forest. FAO's definition does not, and a satellite sees canopy, not land use. What that means for anyone relying on a forest map.

Diagram of a rubber plantation and a natural forest that look alike from above: EUDR treats the plantation as agricultural land, while a forest map may label both as forest
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Same Date, Different Forest: The Map Version Is Part of the Evidence

The Commission's forest type map sits on version 3 of its forest cover map. Version 4 has since removed almost all of the "planted forest" we sampled near plantations. What an operator should write down.

Three forest maps of the same area side by side: GFC version 3, GFT version 1 built on it, and GFC version 4, with plantation patches and a river inside the forest mask in the first two and no forest in the third
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