Corn Yield Estimator

Precision harvest forecasting for commercial and hobby farms.

Count ears in 17ft 5in (for 30" rows)
Typical range: 12 - 20
Exclude the tip kernels
80 (Large) to 110 (Small)
Estimated Yield
0.00 Bushels/Acre

Enter your field sample data above. The AI will analyze your crop potential and provide harvest management insights.

โœ… How to Estimate Corn Yield

This Corn Yield Estimator uses the Yield Component Method, developed by the University of Illinois. It is designed to provide a realistic forecast of your harvest weeks before the combines enter the field. By sampling 1/1000th of an acre, you can scale your data to represent the entire field with surprising accuracy.

The 1/1000th Acre Rule

To get an accurate sample, you must measure a length of a row that represents 1/1000th of an acre based on your row spacing:

  • 30-inch rows: Measure 17 feet, 5 inches.
  • 20-inch rows: Measure 26 feet, 2 inches.
  • 15-inch rows: Measure 34 feet, 10 inches.

โœ… The Formula Explained

Yield (bu/acre) = (Ears ร— Rows ร— Kernels) รท Kernel Weight Factor

The Kernel Weight Factor (also known as the 'Fudge Factor') represents the number of kernels in a bushel. Standard calculations use 90 (representing 90,000 kernels per bushel). In high-stress years with small kernels, use 100-110. In excellent years with plump grain, use 75-80.

โœ… FAQ Section

When is the best time to estimate yield?

The most accurate estimates are made during the R3 (Milk stage) to R5 (Dent stage). Estimating before the kernels have reached full size (early milk stage) often leads to over-estimation.

Why is my actual yield different from the estimate?

Common factors include uneven plant spacing, ear rot, or significant weather events between the time of sampling and harvest. To increase accuracy, take at least 5-10 samples across different areas of the field.

โœ… Related Tools

The Component Method

Yield estimation helps farmers plan for harvest and storage. This tool uses the “Component Method” based on ear count and kernel weight factors.