Intelinair County-Level Yield Forecast blog header with a county-level corn yield map of the Corn Belt
dots-horizontal

See the Yield County by County: Inside Intelinair’s County-Level Yield Forecast

Publish Date: August 26, 2026
Author: Ram Rapaka

Key Takeaways

  • Intelinair’s County-Level Yield Forecast provides in-season corn and soybean yield estimates for every county in your trade area, not a single state number.
  • The forecast is built from satellite canopy imagery, weather, root-zone soil moisture, and more than 20 years of USDA county yield history.
  • Every county number carries a calibrated 80% confidence range, so teams can size real downside risk instead of working from a point estimate.
  • Forecasts are refreshed twice monthly through harvest, and each new round firms as the season’s weather and satellite signals evolve.
  • The model is walk-forward validated, tested out-of-sample, year over year, and cross-checked against USDA’s own in-season forecasts.

Every grain origination desk runs into the same gap sooner or later: the decisions happen county by county, but the yield information arrives state by state.

Basis, space, buying, logistics – none of it is managed at the state level. A single state yield number, published after the market has started to move, leaves teams filling in the county-level picture from experience and instinct. That works until the year it doesn’t like the year the dryland edge of the footprint breaks hard from the well-watered core, and the state average tells you nothing about either.

That is the gap Intelinair’s County-Level Yield Forecast was built to close.

What is the County-Level Yield Forecast?

The County-Level Yield Forecast is an in-season, county-resolution corn and soybean yield forecast covering your entire trade area. Intelinair produces a yield estimate for every county in the footprint that carries meaningful corn or soybean acreage – hundreds of counties in a typical trade area – with the remaining Corn Belt states reported at the state level for full regional context.

The forecast is built from satellite canopy imagery (NDVI), weather and root-zone soil moisture data, and more than 20 years of USDA NASS county yield history. A machine-learning model fuses those signals into a county-by-county read that updates twice monthly through the growing season, so teams watch the forecast settle toward harvest.

Choropleth map of the Corn Belt showing county-level corn yield forecasts across Minnesota, Wisconsin, Iowa, Illinois, Missouri, Kansas, Nebraska, and South Dakota. Counties are shaded on a scale from dark green (about 230 bushels per acre) to dark red (about 150), with the strongest yields concentrated in central and northern Iowa and southern Minnesota and the weakest in western Nebraska. Values are illustrative, not actual forecast data.
The Intelinair County-Level Yield Forecast delivers an in-season corn and soybean yield read for every county in your trade area, updated monthly through harvest.

What does each forecast round include?

Each round of the Intelinair County-Level Yield Forecast delivers a complete picture of the crop across the footprint:

  • County yield maps for corn and soybeans, in bushels per acre, with your grain-handling locations pinned
  • Trade-area acre-weighted yields with ten years of harvest history for context, the single number that best summarizes the crop a team will originate
  • Planted-acre crop mix: corn versus soybeans, county by county, anchored to the USDA NASS state acreage as currently published
  • Key risks into harvest: drought progression, disease pressure, and crop-stage timing, mapped to the specific parts of the trade area where they sit
  • The signals behind the forecast: canopy vigor, soil moisture, and drought indices, so the read is never a black box
  • Full county and state appendices with every forecast, confidence range, and planted-acre figure

Why does county-level resolution matter for grain origination?

Because a state average hides exactly the variation an origination team needs to see. In a typical season, counties inside a single trade area can range from crop failure territory to record-setting yields, a spread a state number compresses into one figure.

Side-by-side comparison of Iowa corn yield views. Left: the whole state shaded one color with a single estimate of 211 bushels per acre labeled "one average." Right: the same state broken into 99 counties, shaded from dark green (higher yield) in the north to red (lower yield) in the southwest, labeled "99 county forecasts, each with an 80% confidence range." Values are illustrative, not actual forecast data.
One state average hides the spread that matters. The county-level read reveals where yield is strong, where it's slipping, and where your origination strategy should differ—all before the market has fully moved.

County resolution shows where the bushels are, and where they aren’t, before the public estimates arrive. That reading informs basis decisions, capacity planning, and buying across the territory.

How does Intelinair handle forecast uncertainty?

Every county and state number carries a calibrated 80% confidence range. The expectation is that the final harvested yield lands inside that range about eight times in ten, and in out-of-sample testing, the ranges have covered actual outcomes at or above that target.

This is confidence, not false precision. Wider ranges flag genuinely greater uncertainty, typically the dryland edges of a footprint, while tighter ranges mark the well-watered core. The P10, the low end of the range, serves as the practical guardrail: it tells how much downside a county realistically carries if the season finishes hot and dry.

How does the forecast change through the season?

The forecast updates twice monthly through harvest, and each round leans on different signals as the season matures. Early rounds are driven by planting conditions, soil moisture, and weather; as the crop develops, satellite canopy signals carry more weight and the forecast settles toward the final number.

That progression matters because the crop’s yield-setting windows, for example, grain fill for corn, pod set and pod fill for soybeans, arrive late in the season, when weather can still meaningfully move the final number. Twice-monthly updates let teams track how each new round of weather and satellite data shifts the county map, rather than anchoring to a single mid-season estimate.

How is the model validated?

The Intelinair county model is walk-forward validated: it’s tested out-of-sample, year over year, against yields it has never seen. Forecasts are also cross-checked against USDA’s own in-season state forecasts and more than two decades of county yield history, giving your team an independent check on how the model’s read compares with public signals throughout the season.

Who is the County-Level Yield Forecast for?

The forecast is built for organizations whose decisions run at county resolution: grain origination teams, agricultural retailers and cooperatives, and grain marketing organizations managing basis, space, and logistics across a multi-county footprint. Intelinair scopes each forecast to your specific trade area, so the deliverable maps directly to the geography the team actually manages.

Frequently asked questions

What crops does the Intelinair County-Level Yield Forecast cover?

Corn and soybeans, forecast at the county level across your trade area, with the remaining Corn Belt states reported at the state level.

How often is the forecast updated?

Twice monthly through harvest. Each round incorporates the latest satellite canopy imagery, weather, and soil-moisture data, and the read firms as the season develops.

What data goes into the forecast?

Satellite canopy composites (NDVI), weather and root-zone soil moisture, and more than 20 years of USDA NASS county yield history, fused by a machine-learning county model.

What is the confidence range on each forecast?

A calibrated 80% confidence range on every county and state number. The final harvested yield is expected to land inside the range about eight times in ten, and the P10 (low) end serves as the practical downside guardrail.

How accurate is the forecast?

The model is walk-forward validated, tested out-of-sample, year over year, and its confidence ranges have covered actual outcomes at or above the 80% target in true out-of-sample seasons.

How do I get a County-Level Yield Forecast for my area?

Contact your Intelinair sales representative to scope a forecast for your footprint, or reach out through intelinair.com.

See the yield county by county

The County-Level Yield Forecast delivers an in-season corn and soybean read for every county in your trade area, updated twice monthly through harvest, with a calibrated confidence range on every number.

To learn more or scope a forecast for your area, visit intelinair.com or contact sales@intelinair.com.

Ram Rapaka is Vice President of Operations for Intelinair.

Share This Article

RELATED BLOG POSTS

[pdf-embedder url=”https://www.intelinair.com/wp-content/uploads/2024/10/Topography-Layer.pdf”

Yield Forecast

Understand where your corn yield is based on the current state of the crop. As the season unfolds, see how it is having an impact on your final yield.

Yield Loss

Powered by years of Nitrogen research at the University of Missouri, our corn Yield Loss analytic, powered by NVision Ag, gives insight into potential yield loss due to Nitrogen deficiency. Optional analytic for nitrogen management.

Variable Dry Down

variable dry down

Understand which fields and which areas of the field are drying down to help plan your harvest logistics.

Underperforming Area

low crop health

Not all areas of your fields perform the same and low NDVI doesn’t necessarily mean there is anything you can do to fix it this year. Underperforming Area alerts you to the fields and areas of the fields that are performing below their historical potential. This will allow you to quickly find those fields and areas and make adjustments to get them back on target and protect yield.

Nutrient Deficiency

nutrient deficiency

As the crop grows, it can tell us more of what is wrong with it. This analytic finds the fields and areas of the fields where there is a nutrient deficiency so that issues can be addressed before grain fill.

Disease Stress

disease risk

In conjunction with the Thermal Stress, Disease Stress alert takes into account weather information to more precisely indicate the type of stress impacting the crop.

Thermal Stress

thermal risk

Using our thermal imagery, AGMRI can detect elevated heat patterns of the crop that indicate crop stress.

Crop Health

Crop Health

Get a complete view of your farms and fields and identify where yield potential is ranked highest to the lowest.

Weed Map & Weed Escape

weed escape

Know what fields and areas of the fields have weeds. With machine integration or based on planting date, be alerted to what fields have weeds that may be impacting yield.

Historical Field Performance

AGMRI creates 5 performance zones in each field based on the historical average of those zones. This data is used to compare the current season to help understand where you are underperforming from the zone potential.

Low Emergence

low emergence

Notification of what fields and areas of the field have poor emergence.

Stand Assessment

strand assessment

AGMRI detects the established rows and uses computer vision and machine learning to determine the best segment of row and compares the rest of the field to that segment to give you a relative map. If machine data is integrated, a stand population map is returned.

YOUR MESSAGE WAS SENT SUCCESSFULLY!

dots-horizontal

We have received your inquiry and we’ll be in touch with you soon

Thank you for contacting us.