Proprietary farm data — vendor platforms and Ag Data Transparent certification

Global (multi-jurisdiction, primarily US/EU/Canada/Brazil/Argentina)

Content

Proprietary farm data is the dominant cell in the agrifood AI data substrate. Major vendor platforms collect farm-level data (GPS coordinates, seeding rates, pesticide volumes, moisture readings, yield estimates) and aggregate with external feeds (satellite, weather). The aggregation is the value; the individual farm data is the input.

The major proprietary platforms

The contractual reality

Climate FieldView’s privacy statement (verbatim):

“Does Climate LLC own the customer farm data uploaded into FieldView? No. Our customers own the customer farm data they provide to Climate LLC, including data…”

Bayer framing (Brian Leake, spokesperson):

“Farmers own their own data—full stop. They can choose to share their data with others and request that their individual farm data is deleted.”

But: Climate FieldView’s data is stored with Amazon Web Services, Microsoft Azure, or Google Cloud — third-party cloud infrastructure. The vendor’s operational control over data movement, aggregation, and use extends beyond the contractual ownership statement.

Ag Data Transparent — the industry-led certification

Ag Data Transparent is a non-profit certification scheme based on the Privacy and Security Principles for Farm Data. John Deere is the first major ag player to obtain it (the first major qualifier matters — the certification has existed since at least 2021). Bayer Climate FieldView certified since 2021.

The certification is industry-led: “made up of farmer-led organizations and commodity groups.” It provides five levels of transparency and is the operational instantiation of farmer-data ownership rights.

Critical observations on Ag Data Transparent:

The FTC-Deere settlement (July 8, 2026) — the regulatory layer

The FTC settled with John Deere in July 2026 over right-to-repair concerns. The settlement is also a data-governance event: equipment data access is a precondition for right-to-repair. Worth knowing because the right-to-repair conversation is also a farm-data conversation.

The Civil Eats critical framing (March 2026)

Concrete data from Civil Eats:

Practitioner reality (Andrew Nelson, Washington farmer, 7,500 acres):

“I’ve read the terms and conditions. But giving some of that information to the person that I’m having to buy a three-quarter of a million-dollar machine from just doesn’t sit quite right.”

What this unit is doing in the taxonomy

Anchors the data-substrate × proprietary × industry cell as a framework claim-type. Captures the major vendor platforms, the contractual framing, the Ag Data Transparent certification, and the FTC-Deere regulatory layer.

Distinct from:

Why it matters for talks

Critical context