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INDUSTRY FIELD GUIDE

Corn and sorghum yield-monitor data for AI evaluation

A colored yield map can hide the difference between a low-yield strip and a change in sensor calibration.

By Fiund · Updated 2026-11-05

NAICS 111150 · Corn Farming
NAICS 111199 · All Other Grain Farming

A colored yield map can hide the difference between a low-yield strip and a change in sensor calibration. Iowa State and Mississippi State Extension describe how calibration affects combine yield and maps. A producer can show an AI team how operators compare a machine estimate with independent evidence without handing over a whole field’s records. Iowa State yield monitor calibration · Mississippi State yield map calibration

Sketch a fictional field and make two short harvest traces. Record crop, moisture basis, machine state, the indicated weight, and an independently weighed training load. Include one apparent yield drop immediately after a change in settings and one drop backed by matching weight evidence. Ask the model what the data supports and what else it would check. Keep corn and sorghum runs separate when the crop changes the equipment settings.

Use shifted timestamps and synthetic coordinates. Check terms for exports from the grower, custom harvester, and equipment platform. A small recreated strip is enough for an initial review.

Describe a yield-trace test

Original Fiund exercise

An apparent yield drop after a setting change needs independent weight evidence

A fictional field sketch and short sensor summaries use arbitrary mass units. They contain no farm coordinates, actual yields or equipment recommendations.

Fictional records supplied to the evaluator
RecordSourceWhat it records
GY1Training load ACrop C, moisture basis M: monitor indicates 100 mass units; independent practice scale also reads 100 before a setting change.
GY2Training load BSame crop and basis after setting change: monitor 80, independent scale 100. Source links both readings to the same load.
GY3Training load CSame stated crop and basis: monitor 70, independent scale 70. No comparable area measurement supplied for any load.

Question for the model

Which lower monitor value has independent mass support, and can any load's readings alone establish a lower area-normalized yield?

Show the reference answer and checks

GY2's monitor falls to 80 while its independent scale remains 100, documenting a measurement disagreement after the setting change rather than a confirmed mass decrease. GY3's two sources agree at 70, supporting that load's lower measured mass. None supplies comparable harvested area, so these values alone do not establish an area-normalized yield drop. Preserve crop, moisture basis and load identity before attributing a map pattern to crop performance.

  • Treating a sensor change as a real production change despite conflicting independent evidence.
  • Calling lower load mass lower yield without a comparable area denominator.

Fields to preserve

Load, crop and moisture basis
Defines the comparison.
Monitor setting and indicated mass
Preserves the machine observation.
Independent scale and area evidence
Separates calibration review from yield inference.

Test another case

Change C to another crop without its calibration basis. Require the matching mass readings to be reported while cross-crop yield comparison remains unsupported.

Use recreated traces and synthetic locations. Exclude whole-field records and proprietary platform settings; review grower, harvester and equipment-export rights separately.

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