Skip to content

Industries

What AI companies build with agriculture businesses data

By SourceX Editorial · Updated

Short answer

AI companies use agriculture businesses data to build agronomy assistants, yield prediction and equipment diagnostics. The most useful records are field and yield records, agronomy notes, equipment logs and crop imagery, because they show how real work in the field gets done.

Agronomy assistants#

Models for agronomy assistants learn from real examples of the work, such as field and yield records and agronomy notes, prepared with personal details removed.

Yield prediction#

Models for yield prediction learn from real examples of the work, such as field and yield records and agronomy notes, prepared with personal details removed.

  1. 01Your work records
  2. 02Personal details removed
  3. 03You approve the release
  4. 04Licensed to AI developers
How it works with SourceX: Your work records → Personal details removed → You approve the release → Licensed to AI developers.Illustrative

Equipment diagnostics#

Models for equipment diagnostics learn from real examples of the work, such as field and yield records and agronomy notes, prepared with personal details removed.

How your records get there#

SourceX starts with a short fit check that shares no data. If it fits, rights are reviewed, a copy is prepared with personal and confidential details removed, and your company approves exactly what leaves before anything is delivered under a signed license.

Frequently asked questions

Will AI built from our data compete with us?

Licenses can limit uses and buyers. Raise it during the rights review.

Related resources

See if your company qualifies

A short company assessment. No data uploads are needed.

See if your company qualifies Talk to SourceX
See if your company qualifies