Agriculture data
Years of yield maps, soil tests and equipment data could fund next season's inputs.
Farming operations, cooperatives, agronomy services and food processors hold years of yield maps, soil and tissue tests, equipment telemetry, drone and satellite imagery and scouting notes that AI developers need. We handle de-identification of fields and growers, buyer vetting and contracts alongside your counsel. You keep ownership and approve every use.
Who fits
- Row crop and specialty crop operations with 25 or more employees
- Cooperatives, grain elevators and input retailers
- Agronomy, crop consulting and precision ag service providers
- Greenhouse, livestock and food processing operations
Get a data valuation
Ten minutes, no files. We reply within one business day.
Most valuable data types
What buyers want from agriculture companies.
Agricultural AI, from yield prediction to crop protection and autonomous equipment, is limited by how little real field data is available: public datasets are small, regional and rarely paired with outcomes. Developers need many seasons of georeferenced inputs, imagery and yields from working operations, which is exactly what large farms, co-ops and agronomy services hold.
Yield monitor, planter and sprayer data by field and season
Multi-year, georeferenced records of what was planted, applied and harvested are the ground truth for agronomic models, and they exist only on farms.
About sensor and machine logsDrone, satellite and scouting imagery with field outcomes
Field imagery paired with the yield or disease outcome that followed trains crop monitoring and vision models.
About images and videoAgronomist recommendations and scouting notes
Written diagnoses and prescriptions from agronomists, tied to the fields and results, are expert judgment developers cannot generate.
About expert annotations and workflowsSoil tests, input applications and harvest records
Lab results and application records across seasons connect inputs to outcomes for yield and sustainability models.
About transactions and operationsField plans, crop protocols and compliance records
Operational documents show how decisions are made through a season, from planting plans to food safety audits.
About documents and knowledge bases
Illustrative scenario
A 300-person diversified farming operation with 40,000 acres
10 years of yield, planting and application data by field, 6 years of drone and satellite imagery, and agronomist notes on every field
$80K to $500K
Illustrative estimates based on public benchmarks and our valuation model. Actual value depends on uniqueness, quality, rights and buyer demand. How we estimate
What drives the range
- Ten seasons of inputs paired with yields
- Imagery linked to field outcomes
- Landowner and grower agreements limit some fields
Compliance
Land and yield confidentiality, grower agreements and ag data principles handled with your counsel
Field boundaries, land ownership and grower identities are de-identified or generalized before any sample is shared, so licensed data describes conditions and outcomes without pointing to a specific farm. Lease and crop share agreements, cooperative and marketing contracts, and equipment and software terms are reviewed with your counsel for who holds rights in the data. Industry ag data transparency principles guide how use, control and portability are written into the contract, and buyers are contractually barred from re-identification attempts.
Standards in play
- Field and grower de-identification
- Lease, crop share and co-op agreements
- Equipment and ag software data terms
- Ag data transparency principles
FAQ
Agriculture questions
Our data is spread across equipment brands and software platforms. Is that a problem?
No. Mixed formats are normal, and part of the work is consolidating and cleaning them. The rights review also checks each equipment and software agreement for terms about data use.
We farm leased land. Does the landowner have a say?
Sometimes. Lease and crop share agreements are reviewed with your counsel to confirm who holds rights in field data, and fields with unclear or shared rights are excluded or handled with the landowner's agreement.
Could buyers trace the data back to our fields or prices?
Field boundaries are generalized, identifiers are removed and contract prices are excluded or bucketed, and buyers are contractually barred from re-identification attempts. The goal is to license what happened in the field, not where the field is.
Find out what your agriculture data is worth.
Ten minutes, no files, NDA on request. We reply within one business day.