In February, I met Elisa, a pseudonym used for privacy, a single mother raising a teenager while growing coffee alongside avocado and macadamia in Kenya. She is among the few women farm owners who successfully navigated the bureaucratic hurdle of converting inherited land into formal title deeds, putting her daughter through high school with university on the horizon.

Elisa was one of the women coffee growers I interviewed—and part of a broader cohort of 137 producers I consulted across Nandi, Nyeri, Kiambu, Meru, and Kirinyaga—to understand gender-specific barriers within the compliance gap.

My initial thesis was that smallholders and smaller SME importers risk decoupling under the European Union Deforestation Regulation (EUDR) because neither side can easily absorb compliance costs. Yet when I asked Elisa what she saw as the primary hurdles, technology—or the supposedly insurmountable task of capturing farm geolocation, as much of the early alarmism suggested—was the least of her concerns. Elisa, and nearly two-thirds of my interviewees, own a smartphone, buy data regularly, and navigate digital interfaces with ease.

Her concerns, echoed by many, were grounded in practical reality. First, she spoke with sophistication about anxieties surrounding taxation, fearing newly collected farm data could eventually be weaponized to impose extra levies. Second, she expressed deep frustration with data fatigue. Certification bodies, auditors, cooperatives, and buyers constantly arrive with new questionnaires and mapping exercises. Despite being a proud community leader within her cooperative, Elisa described the exhaustion of repeatedly handing over datasets that serve everyone’s needs except her own.

Her experience reflects a broader pattern across coffee supply chains, where digitization has almost always begun with the needs of the buyer. Long before the EUDR entered the picture, markets demanded mapped farms, verified producers, and documented production practices. The regulation merely accelerated this drive. The more I looked at this, the more it became clear that the problem was not simply EUDR; EUDR was exposing a much older architecture in agricultural digitisation. Farmers have been mapped before for certification, sustainability programmes, sourcing schemes, donor projects, and commercial traceability. The technology is often presented as something being done for the farmer, but the useful output frequently travels in the other direction: the buyer gains visibility over origin, the programme gains monitoring data, and the certifier gains evidence, while the farmer remains merely the source from which the information is extracted. In that sense, the new mapping rush risks reproducing an old pattern at a much larger scale—generating increasingly sophisticated knowledge about farmers without a corresponding increase in what farmers themselves can do with that knowledge. These systems remain built around the needs of the buyer, certifier, exporter, or compliance officer: useful primarily to downstream actors long after the farmer who supplied the information has disappeared from view.

Privacy Is Not Utility

An uncomfortable contradiction lies at the heart of agricultural compliance. Farmers are routinely asked to surrender granular data about their land and livelihoods while gaining almost no practical visibility over the records constructed from it.

Even robust data-governance frameworks do not by themselves solve this. Frameworks like the GDPR and Kenya’s Data Protection Act provide important rights of access, transparency, and portability. However, legal access to personal data is not the same as having a persistent, operational record of one’s farm, production, and trade that can be actively used in everyday economic life. A farmer can be fully protected as a data subject under the law while remaining completely unable to retrieve or deploy the economic record built around her own farm.

The Incentive Problem at the Farm Gate

When evaluating the mapping rush driven by the EUDR, the primary bottleneck is not technical. GPS-enabled phones, farm polygons, satellite imagery, and traceability software are already mature technologies. The more difficult question is whether farmers have any real incentive to participate in data collection in an informed way, rather than simply comply with what is being asked of them. What does meaningful informed consent look like in a context where there is an obvious power imbalance, and where the farmer may ultimately feel she has little choice but to provide the information because market access depends on the buyer requesting it?

I was convinced then, and remain convinced now, that EUDR places a disproportionate burden on smallholders like Elisa, who grows coffee on roughly an acre of land that has long been agricultural and, by any credible measure, is not responsible for the deforestation the Regulation is intended to address. Make no mistake: deforestation is real, and European consumption has contributed materially to deforestation embedded in global supply chains. But the compliance burden does not fall only on those responsible for that harm. Smallholders, whether Elisa in Kenya or Mariana in Honduras, can end up carrying part of the collective cost of addressing it.

Over time, however, my argument shifted. It was no longer enough to say that this was unfair. The more useful question became: if farmers are being asked to participate in this new compliance infrastructure, what additional value must that infrastructure create for them? That is where the incentive problem begins to matter. EUDR has created a regulatory need downstream that depends on participation upstream. The importer needs reliable geolocation; the exporter needs to know which coffee came from which farms; the supply chain needs evidence that the product is not associated with prohibited deforestation. But the farmer whose participation makes that evidence possible may see little direct value from the exercise itself. If the only proposition is, in effect, “please provide this information because somebody buying your coffee in Europe needs it,” then the system is built on a fragile assumption: that millions of smallholders will continue producing and updating data primarily for the benefit of actors several steps removed from them.

That is when we began to look at the EUDR burden differently. Brussels had, perhaps unintentionally, triggered one of the largest waves of agricultural digitisation in the commodities it regulates. If this transformation was going to happen anyway, the question became how to ensure that farmers were not merely mapped for somebody else’s compliance but gained something durable from the infrastructure being built around them.

Today, Elisa is the very first farmer registered on Plotra, our geospatial and data structuring infrastructure built by Terraxis SRL. Built with sincere thanks to Elisa and the hundreds of growers who shared their time, it is precisely on this foundation that Plotra was designed: placing the farmer firmly at the centre of her own data ecosystem.

While my initial thesis remains a driving force, ensuring smallholder farmers are not decoupled from global supply chains, what was at stake extended far beyond EUDR and still does. The core realization was simple: if we must collect farm data, we must create genuine value for the farmers themselves. These five foundational pillars now form the blueprint for all products and services developed at Terraxis SRL.

1. Eliminating Data Fatigue

Rather than subjecting smallholders to repeated and disconnected data collection, Plotra builds a single record over time from the ordinary course of farming and trade. Information is added when it becomes relevant, when a farmer is registered, when production changes, when coffee is delivered, when support is provided, or when a due-diligence issue needs to be followed up. The result is not another one-off survey, but a living record that becomes richer through use and can serve multiple purposes without asking the farmer to start again each time.

By moving beyond traditional GDPR frameworks toward practical data sovereignty, the operational record remains directly accessible to the producer who created it. Regulatory reporting like EUDR and human rights due diligence (HRDD) become mere byproducts of a far more ambitious goal: the complete digital transformation of the farm.

2. Direct Visibility

The farmer can directly view every piece of data being built around her enterprise—farm profiles, parcel boundaries, delivery logs, and compliance statuses. If a delivery is missing, a record is outdated, or information attributed to her is incorrect, she no longer depends on a distant buyer or database administrator to spot the discrepancy. She becomes an active participant in her own record rather than merely its subject.

3. True Data Portability

Visibility means little without portability. Relevant records can be exported in open, standard formats rather than remaining trapped inside Plotra. A farmer does not surrender her production history every time a commercial relationship changes, nor should a new buyer, certification body, or development project re-map the same farm simply because a previous system refused to share data. A season of participation leaves behind a reusable asset, not another closed database.

4. Operational Continuity

The record grows alongside the farm rather than freezing the producer at the moment she was first mapped. As bushes mature, inputs are applied, yields fluctuate, and deliveries accumulate, Plotra allows this operational history to persist, turning a one-off compliance exercise into a living economic record. When cherry is delivered to the wet mill, Plotra keeps that physical delivery tied to her profile, giving her verifiable proof of what has entered the commercial chain while she awaits final settlement.

5. Data as an Economic Asset

An operational record naturally converts into real-world agency through three distinct outcomes:

• Financial Inclusion: Verified delivery records provide structured, verifiable evidence of expected agricultural income when farmers apply for credit at participating SACCOs. The exact same data demanded by a European importer becomes evidence supporting credit assessment for a farmer in Kiambu approaching her local credit union.
• Operational Sovereignty: A farmer with a portable, verifiable history is no longer bound to a single commercial actor to prove her compliance or trade history. Her economic identity remains attached to her, correcting an asymmetry that arises when producer records remain inaccessible or non-portable inside buyer-controlled systems.
• Direct Value Attribution: Because Plotra preserves the link between individual deliveries, aggregated processing batches, and downstream green coffee sales, secondary premiums paid on traceable lots can be routed proportionately back to the specific producers who grew them.

In that sense, a record that begins with visibility progresses naturally to portability, operational continuity, financial utility, and direct value attribution. The farmer does not simply become more legible to the global market; the market finally becomes legible, transparent, and economically useful to the farmer.