Observed arrival · 2026-08-30
Kernel, Corn Yield Estimates from Two Photos
Kernel is an offline phone app that estimates corn yield by combining kernel counts with measurements from two ear photographs.
Field notes
The documented workflow uses one photo of the ear and one of the cut face, then combines kernel counts with kernel-size information to estimate kernels per bushel. The page specifically names kernels per row and rows per ear, says all processing runs on the phone without a signal, and allows users to edit the numbers. App-store availability is presented as forthcoming, while the current page offers an early-access request and cautions that the result is a sample rather than a harvest measurement.
Observed signals
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Editorial observations of this landing page, not a rating.
One card from the complete issue