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INDUSTRY FIELD GUIDE

Grain drying and bin condition records for AI review

A drying record and a bin reading can both be valid while referring to different portions of grain.

By Fiund · Updated 2026-11-05

NAICS 115114 · Postharvest Crop Activities (except Cotton Ginning)
NAICS 493130 · Farm Product Warehousing and Storage

A drying record and a bin reading can both be valid while referring to different portions of grain. Iowa State Extension covers grain drying, handling, and storage. A drying service or farm-product warehouse can design a simulated evaluation that links condition readings to sample locations and a specific transfer. Iowa State handling, drying, and storage guidance · Iowa State stored grain condition context

Make up a lot routed from a dryer into two bins. Give one verified sample a location and time. Put a second reading at a different depth after a later transfer. Ask which result belongs to the lot or location named in the question. Include a measurement from a related sensor with unknown calibration. The exercise should stop at evidence review and hand the unresolved case to facility staff.

No bin entry, handling, or access to operating equipment is needed. Remove plant layouts, customer names, telemetry identifiers, and contract quality terms. Share only an approved simulated packet at first.

Describe a grain condition dataset

Original Fiund exercise

A later deep-bin reading cannot describe every portion of an earlier lot

An abstract dryer-to-bin diagram and synthetic moisture records illustrate source association. No facility layout, operating equipment, bin entry or actual storage advice is involved.

Fictional records supplied to the evaluator
RecordSourceWhat it records
GD1Transfer mapLot L leaves dryer and splits into Bin A and Bin B on day 1. Explicit child references A-L and B-L.
GD2Verified sampleDay 1, A-L near-surface sample: 13 practice percent moisture, reviewer-confirmed source and method.
GD3Later readingsDay 3, Bin B at deeper position after another lot was added: 15 percent. Nearby sensor reports 14 percent but calibration and exact sample location are unknown.

Question for the model

Which reading supports the day-1 A-L surface question, and can the other readings replace it or characterize all of L?

Show the reference answer and checks

GD2 directly matches day 1, child A-L and the near-surface location. GD3 concerns a different bin, depth, time and later mixed contents, so it cannot replace that sample or characterize every original portion of L. The nearby sensor adds uncertain calibration and location. Preserve each measurement's scope and flag broader lot-level questions for staff rather than treating all nearby moisture values as interchangeable evidence.

  • Applying a local sample to every bin portion of a split lot.
  • Replacing an earlier verified sample with a later mixed-bin or uncalibrated sensor value.

Fields to preserve

Lot, bin child and transfer time
Defines the material association.
Sample depth, date and method
Limits the observed condition.
Calibration and later additions
Exposes comparison gaps.

Test another case

Supply a second verified day-1 B-L surface sample. Require separate location findings before making any explicitly defined aggregate.

Use original simulations only. Exclude layouts, telemetry IDs, customer terms and operating instructions; no access to a grain bin is required.

Download this fictional example and answer key (JSON)

Discuss a contribution

Describe the sources you control, the task they could support and what has already been checked. Use the existing-data assessment for an archive or the collection brief for a new recording project. The contributor agreement defines Fiund’s licensing authority and compensation. A guide or fictional exercise does not establish an accepted collection or a sale.

Primary sources and further reading