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/ Mark Donahue, YieldVista

How YieldVista Compares Your Fields to Neighbors

How we benchmark a corn or soy field against its nearest county neighbors using K-nearest centroids and why the comparison is more meaningful than a state average.

Yield benchmarks are only useful if they're comparable. A field on the IA/IL border has more in common with the next county over in Illinois than with western Iowa. YieldVista solves this by comparing each field or county to its K nearest neighbors — the K closest counties by centroid distance, regardless of state line.

Scott County, Iowa and its 10 nearest county centroids — 6 in Iowa, 4 across the Mississippi in Illinois
K=10 neighbors of Scott County, IA. Six lie in Iowa, four across the Mississippi in Illinois — the river isn't a yield boundary.

Why "neighbors" is more useful than "state mean"

State averages average across a wide range of climate, soil, and management conditions. A field on the IA/IL border has more in common with the next county over in Illinois than with western Iowa.

How we choose neighbors

For each county, we compute the great-circle distance from its centroid to every other county centroid and keep the K closest. Default K is 10. Centroids come from the Census 2024 Gazetteer file.

What the comparison shows you

When your field's predicted yield is +10% vs the neighbor mean, you're outperforming the surrounding region — usually a sign of timely planting, better drainage, or favourable rainfall. When you're −15%, something field-specific is happening that the broader weather can't explain.

Limits of the metric

K-NN tells you about relative performance, not absolute. Three neighbouring counties hit by the same drought will look "in line" with each other while all three are well below trend. Pair the neighbor comparison with the vs 5-yr trend metric on the same card.

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