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Locations {{ resultsReady ? computation.values.valid_sample_count : '—' }} Observed range {{ resultsReady ? `${formatNumber(computation.values.min_yield, 1)}–${formatNumber(computation.values.max_yield, 1)}` : '—' }} Variability {{ resultsReady ? `${formatNumber(computation.values.coefficient_variation, 1)}% CV` : '—' }}

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Yield estimate
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Calculation method:
The summary, chart, ledger, and exports consume the same unrounded canonical result.
net bu/ac = ears ÷ sampled acres × rows/ear × kernels/row ÷ kernels/bu × (1 − loss)
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This is a provisional field-sampling estimate, not a confidence interval or calibrated harvest record. Kernel weight, grain fill, field variability, lodging, and combine performance can move final yield.
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The chart renderer is unavailable. Exact location values remain available in the estimate and sample ledger.

LocationEars/acreKernels/earPotentialAfter lossAt measured moistureCopy
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Pre-harvest corn yield estimates turn a small set of ear counts into an acre-scale planning number. They are useful before a combine or weigh wagon can measure the crop, but they remain estimates because kernel filling and kernel weight can still change before harvest.

The yield-component method combines four observations: harvestable ears per sampled area, complete kernel rows per ear, filled kernels per row, and an assumed number of kernels in a 56-pound bushel. Each observation can vary across a field, especially where soil, drainage, planting, pests, or weather created uneven stands.

  • Measure row length and spacing rather than assuming the sample covers a fixed fraction of an acre.
  • Choose representative locations away from end rows, gaps, and unusually good or poor patches unless those conditions occupy a comparable share of the field.
  • Count harvestable ears and filled kernels. Do not treat aborted tip kernels as grain that will reach harvest.
  • Sample several locations. A field average based on one row can hide real variability.

Kernel weight is the largest declared assumption. A lower kernels-per-bushel divisor means heavier kernels and a higher yield estimate; a higher divisor means lighter kernels and a lower estimate. Iowa State notes that a broad correction range is needed because hybrid, weather, and grain-fill conditions change final kernel weight.

Moisture adds a separate weight comparison. Market corn is commonly discussed on a 15.5% moisture basis. Converting the standard-moisture estimate to an equivalent weight at measured moisture preserves dry matter only. It does not reproduce a buyer's shrink schedule, handling loss, dockage, grade discount, or drying charge.

Use the result for crop planning, harvest logistics, storage estimates, and scenario comparison. Final settlement or crop-insurance evidence needs accepted field measurements and records rather than an ear-count estimate alone.

How to Use This Tool:

Measure one consistent row segment at each representative location and keep the kernel-count method the same across the field.

  1. Enter actual Row spacing and Sampled row length with the matching units. At 30-inch spacing, 17.424 ft covers about 1/1,000 acre.
  2. Choose a Kernel-weight assumption from 65,000 to 110,000 kernels per bushel. Use 90,000 as a neutral planning value only when local grain-fill evidence does not support another divisor.
  3. Add each representative location. Count harvestable ears in the measured row, then enter the average complete kernel rows and filled kernels per row from representative ears at that location.
  4. Enter measured grain moisture if a wet-weight equivalent is useful, and add a planning harvest-loss percentage only when you want to reduce every location by that declared amount.
  5. Compare the central estimate with the observed range and coefficient of variation. Add more locations when the spread is wide or the field is visibly uneven.

Interpreting Results:

Central estimate is the arithmetic mean of the location yields after the optional planning loss, expressed in bushels per acre on the 15.5% standard-moisture basis. Observed sample range shows the lowest and highest location rather than a confidence interval for the whole field.

Sample variability reports the sample standard deviation and coefficient of variation (CV). CV expresses standard deviation as a percentage of the mean, which makes spread easier to compare across fields with different average yields. A larger CV is a cue to inspect location results and collect more representative samples, not an automatic quality grade.

  • Compare scenarios only when row measurement, ear and kernel counting, divisor choice, moisture basis, and loss assumption stay consistent.
  • Read the measured-moisture value as a wet-weight equivalent. Do not add it to the standard-moisture estimate or treat it as dry saleable bushels.
  • Revisit the estimate nearer physiological maturity if kernel fill was incomplete or weather conditions changed after sampling.

Technical Details:

Each measured row is converted to acres, so its harvestable-ear count can be scaled to ears per acre. Rows per ear and kernels per row produce kernels per ear. Dividing kernels per acre by the declared kernels-per-bushel factor gives potential yield before the optional harvest-loss reduction.

Formula Core:

The main result is a standard-moisture component estimate. The moisture bridge is calculated separately from the same standard-moisture yield.

A = s×l4046.8564224 E = eA K = r×k Y = E×Kd×(1-L100) Ywet = Y×1-0.1551-M100 CV = SDY¯×100
Symbols and units used in the corn yield formulas
SymbolMeaningUnit
s, lRow spacing and sampled row lengthMetres after conversion
ASampled areaAcre
e, ECounted ears and scaled ear populationCount; ears/acre
r, k, KKernel rows, kernels per row, and kernels per earCounts
dKernel-weight assumption65,000 to 110,000 kernels/bushel
LOptional planning harvest loss0% to 30%
MMeasured grain moisture0% to 60%

A 30-inch row measured over 17.424 ft covers 0.001 acre. At one location, 28 ears scale to 28,000 ears/acre; 16 rows by 34 kernels gives 544 kernels/ear. With a 90,000-kernel divisor and 2% planning loss, that location estimates about 165.86 bu/ac. Across checked locations yielding 165.86, 182.93, and 148.18 bu/ac, the mean is about 165.66 bu/ac and CV is about 10.49%.

Mechanism Core:

For two or more locations, sample standard deviation divides the sum of squared deviations by n - 1 before taking the square root. With one location, standard deviation and CV are reported as zero because no between-location variation can be estimated.

The central estimate, range, standard deviation, CV, and location comparisons retain full precision and display at one decimal place. The wet-weight bridge uses dry-matter conservation only; commercial shrink and handling loss are deliberately excluded.

Limitations:

Ear-count yield is a field-planning estimate rather than a harvest measurement.

  • Biased locations, too few samples, inconsistent kernel counting, and incomplete grain fill can move the estimate materially.
  • The kernel divisor is an assumption. Final kernel weight may fall outside the selected scenario after stress, disease, frost, or unusually favorable grain fill.
  • The planning-loss percentage is a uniform user assumption, not a measured combine or header loss.
  • Moisture conversion excludes handling loss, mechanical drying loss, dockage, test weight, quality grade, price, and storage cost.
  • Use scale tickets, calibrated yield-monitor data, weigh-wagon checks, or accepted insurance procedures for final records.

References: