The Cooperatives of the Soil: Who Governs the Farm Data Code?

Farmers are accustomed to operating under pressure from both ends of their business. Upstream, four companies, Bayer, Corteva, Syngenta, and BASF, collectively control more than half of global commercial seed sales. Downstream, in Australia, Coles and Woolworths alone account for around 67% of grocery retail volume. The farmer sits in the middle, bearing the operational and climatic risks while having almost zero bargaining power at either end of the transaction. The Treadmill Nobody Chose covered this squeeze in detail. This piece is about the third pressure point layered on top of it.

In recent years, a third pressure point has emerged: data. Modern tractors, soil sensors, and drone systems generate enormous amounts of operational and agronomic information. But this data is rarely held by the farmer. It is captured by proprietary agtech platforms, stored in remote cloud silos, and used to build proprietary models that are then sold back to the farming community.

This is the digital extension of what is known in agricultural technology circles as the “Monsanto playbook”. It is a strategy designed to engineer farmer dependency and ensure that the value generated by the soil is extracted to serve corporate balance sheets.

To challenge this, we must treat agronomic data not as a corporate asset, but as a cooperative commons.

The Agricultural Treadmill Goes Digital

In 1958, the agricultural economist Willard Cochrane described the structural treadmill that defines commodity farming. When a new technology is introduced, early adopters gain a brief cost advantage. As the technology spreads, production increases, commodity prices fall, and the cost advantage disappears. Farmers who did not adopt the technology are squeezed out; those who did must adopt the next technology just to stay afloat.

In this cycle, the farmer never wins. The gains of increased productivity are passed down to retailers and consumers, while the technology vendor extracts a permanent rent.

Proprietary precision agriculture accelerates this treadmill. Sensors and machinery monitor yield, soil moisture, and chemical application. The platform company aggregates this data across millions of hectares. They use it to predict crop yields, track commodity flows, and tune their input sales.

The farmer is asked to pay a subscription to access the analysis of their own land. If they try to leave the platform, they find their historical data is trapped in proprietary formats. The switching cost is designed to be ruinous.

This is not innovation. It is rent-seeking with a digital interface. The value is generated by the farmer’s labor and land, but the intelligence is owned by the platform.

Rebuilding Sovereignty Through Open Standards

To break this cycle, we need technology that increases farmer capability without engineering dependency. This requires three distinct shifts: open-source software, local-first data storage, and cooperative governance.

This is the approach we are building into Growgood. Rather than creating a closed platform that holds farmer data hostage, Growgood is designed as an open-source, local-first tool for farm management.

At the heart of the system is the Valueflows protocol. Valueflows is a set of open standards for coordinating economic activity across network commons. It does not assume a central bank or a dominant platform in the middle. Instead, it allows independent nodes, such as individual farms, local food hubs, and machinery cooperatives, to speak the same economic language. They can track inputs, processes, and outputs using shared schemas, enabling peer-for-peer coordination without giving up ownership of the underlying data.

Valueflows is honest about resources and agents: grain in a silo, a tractor logged as equipment, a contractor logged as an agent completing a job. Soil health, aquifer levels, and paddock biodiversity sit less comfortably. They are not owned stock sitting in anyone’s inventory, and they are not an agent making decisions, but treating them as though they do not exist in the ledger at all is exactly the blind spot proprietary agtech already exploits: what is not recorded cannot be defended. It is the same question Nature Is Not a Cash Flow raised about rivers and wetlands, showing up again on a paddock instead of a watershed: there is early, unsettled thinking inside the Valueflows community about a third category alongside agent and resource, a generative system that can be measured and stewarded without being owned by whoever measures it first. It is not part of the core standard. But for a protocol built to keep farmers sovereign over their own data, it is the natural next question. Sovereignty over the data a farmer generates matters less if the soil itself never gets a place in the record.

Because Growgood is local-first, the data lives on the farm, on hardware the farmer controls. It keeps working when the network connection is down, and it does not require routing through overseas cloud servers governed by foreign laws. The farmer decides who gets to see the data, what tools can access it, and when to share it with the community.

Global Models of Data Cooperation

We do not need to invent these governance structures from scratch. Across the globe, farmers are organizing to build data cooperatives that mirror the grain and dairy cooperatives of the twentieth century.

In the United States, the Ag Data Coalition operates as a farmer-controlled repository. It acts as a neutral “data locker” where members store their machinery and sensor files. The coalition does not analyze or monetize the data. Its sole purpose is to give farmers a secure place to pool their records, allowing them to share data with agronomists or researchers on their own terms, and preventing vendor lock-in.

In Europe, the development of the Common European Agricultural Data Space points toward federated public data commons. Here, the focus is on standardizing interoperability so that data remains with the owner but can be shared across research organizations and climate monitoring projects. This supports the development of community-governed AI tools for agriculture without creating a corporate monopoly.

Germany’s OpenAgrar shows what the knowledge side of this looks like when public institutions commit to it properly. It is an open-access repository holding more than 175,000 pieces of agricultural, forestry, fisheries, and veterinary research, some dating back to the late 19th century, jointly operated by six federal research institutes and funded by the German Ministry of Agriculture. None of it sits behind a publisher paywall. A farmer, an agronomist, or a graduate student can pull up decades of publicly funded research on soil health or pest management without a subscription. It is not a farm data cooperative in the Ag Data Coalition sense, the flow runs one way, from researcher to public, rather than being pooled by farmers themselves, but it proves the same underlying point: agricultural knowledge held in public, institutional trust outlives any platform’s business model.

Even further from the digital realm, traditional seed-saving networks operate as biological data commons. By collecting, reproducing, and sharing heirloom seed varieties, these networks preserve genetic diversity outside the patent systems of the agrochemical giants. They treat seed genetics as a collective inheritance rather than corporate property.

Sovereignty is Grounded in the Soil

The struggle over agricultural technology is not about whether we should use sensors or algorithms. It is about who governs them.

When technology is proprietary and closed, it functions as a tool of enclosure, draining wealth and capability from rural communities. When it is open, cooperative, and built on shared protocols, it becomes a tool of sovereignty. It allows farmers to cooperate, share insights, and manage their land regeneratively without asking permission from corporate vendors.

Sovereignty is not an abstract legal concept. It is the ability to feed our communities, care for our soils, and govern our tools. By building a cooperative data commons, we can take our technology back, step off the corporate treadmill, and ground our economy in the health of the land.

My father never owned a soil sensor. He did not need one. He would crouch down in a paddock, take a handful of dirt, and know from its smell and how it held together in his palm whether that season’s grazing rotation was working. That knowledge lived nowhere but in his hands and his memory. A cooperative data commons will not replace it. But it can make sure the next generation’s version of it, patterns pulled from a decade of pooled sensor readings across two hundred neighbouring farms, does not end up owned by someone who has never crouched in a paddock in their life.

Part two of two. Previously: The Commons Before the Combine: A Short History of Farmers Working Together

Sources

• Cochrane, W. W. (1958). Farm Prices: Myth and Reality. University of Minnesota Press. The original formulation of the agricultural treadmill hypothesis.
• Valueflows Protocol (2026). valueflo.ws. The open standard for distributed economic networks and resource sharing.
• Ag Data Coalition (2026). agdatacoalition.org. The US farmer-governed data locker initiative.
• FAO Agris (2026). Trusted, public, and built to last: How OpenAgrar safeguards Germany’s agricultural knowledge. Governance, funding, and scale of Germany’s open-access agricultural research repository.
• ETC Group (2025). Top 10 Agribusiness Giants: Corporate Concentration in Food and Farming. Seed and agrochemical market concentration figures.
• ACCC Supermarkets Inquiry (2024-25). accc.gov.au. Australian grocery retail concentration figures.
• National Farmers’ Federation (2026). Australian Farm Data Code. NFF. The voluntary framework outlining rules for data ownership and consent in agricultural technology.

• Agtech
• Sovereignty
• Data Sovereignty
• Cooperatives
• Data Commons
• Commons
• Valueflows
• Open Source
• Agriculture
• Regenerative
• Regenerative Agriculture
• Rural Australia