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USPTO: us-12648522 · published 2026-06-09 · patents · A01F 12/10· A01F 12/52· A01F 12/58

System and method for controlling threshing assembly operation of an agricultural harvester

Pith reviewed 2026-06-10 02:02 UTC · model grok-4.3

classification patents A01F 12/10A01F 12/52A01F 12/58
keywords agricultural harvesterthreshing controlimage-based feedbackconcave adjustmentcrop damage detectiontailings monitoring
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The pith

An agricultural harvester uses dual imaging devices to adjust the threshing gap based on tailings and damaged crop feedback.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The patent describes a system where a computing system analyzes images from a tailings assembly to detect incompletely threshed crop and adjusts the concave gap accordingly. It then checks images of the cleaned crop for damage and makes a second adjustment to the gap. This sequential control aims to optimize threshing performance by balancing incomplete threshing against grain damage. A sympathetic reader would care because it promises better crop processing efficiency in harvesters without manual intervention.

Core claim

The system includes a threshing assembly with adjustable gap via actuator, a first imaging device on the tailings assembly to capture incompletely threshed material, a second on the elevator for damaged cleaned crop, and a computing system that determines amounts from images and controls the actuator first based on tailings, then based on damage after the first adjustment.

What carries the argument

The computing system that processes image data from two imaging devices to sequentially control the actuator adjusting the gap between concave and rotor.

If this is right

  • Adjusting the gap based on tailings images reduces incomplete threshing.
  • Subsequent adjustment based on damage images minimizes grain damage.
  • The system enables automated control of the threshing assembly operation.
  • Sequential control allows for iterative optimization of the gap size.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • This approach could integrate with other harvester sensors for more comprehensive control.
  • Field testing might reveal how well it performs across different crop types and conditions.

Load-bearing premise

The imaging devices can capture usable image data and the computing system can accurately determine the amounts of incompletely threshed material and damaged grain from the images.

What would settle it

A field test showing no reduction in incomplete threshing or crop damage after the two-stage adjustment, or failure of the image analysis to correctly quantify the materials.

read the original abstract

1 . An agricultural harvester, comprising: a threshing assembly that threshes crop material received from a feeder of the agricultural harvester, the threshing assembly including a concave and a rotor positioned relative to the concave such that a gap is defined between the concave and the rotor; an actuator that moves the concave relative to the rotor to adjust a size of the gap; a tailings assembly that receives incompletely threshed crop material that has passed through the concave; a first imaging device that captures image data depicting the incompletely threshed crop material present within the tailings assembly; and an elevator that transports cleaned crop to a crop storage tank of the agricultural harvester; a second imaging device that captures image data depicting the cleaned crop being transported by the elevator; and a computing system communicatively coupled to the first imaging device and the second imaging device, the computing system: determining an amount of the incompletely threshed crop material present within the tailings assembly based on the captured image data; controlling an operation of the actuator for a first time based on the determined amount of the incompletely threshed crop material present within the tailings assembly; following the controlling, determining an amount of the cleaned crop being transported by the elevator that is damaged; and controlling the operation of the actuator for a second time based on the determined amount of the cleaned crop being transported by the elevator that is damaged.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 1 minor

Summary. The manuscript describes a system and method for an agricultural harvester comprising a threshing assembly with rotor and adjustable concave, an actuator for gap adjustment, a tailings assembly with a first imaging device, an elevator with a second imaging device, and a computing system. The computing system determines the amount of incompletely threshed material from the first imaging device's data to control the actuator initially, then determines the amount of damaged cleaned crop from the second imaging device's data to control the actuator a second time.

Significance. If implemented with reliable imaging and control, the two-stage feedback architecture could enable dynamic optimization of threshing parameters to balance material throughput against grain loss and damage. The manuscript offers a conceptual closed-loop approach using visual sensing but supplies no performance data, simulations, or validation, leaving any practical significance unestablished.

minor comments (1)
  1. [Abstract] Abstract: The text is formatted as a numbered patent claim ('1 . An agricultural harvester...') rather than a standard journal abstract or introduction; this should be restructured for clarity and journal conventions.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their review of our patent application describing a two-stage imaging-based feedback control system for the threshing assembly. The referee correctly notes the absence of performance data or validation. We address this point below.

read point-by-point responses
  1. Referee: If implemented with reliable imaging and control, the two-stage feedback architecture could enable dynamic optimization of threshing parameters to balance material throughput against grain loss and damage. The manuscript offers a conceptual closed-loop approach using visual sensing but supplies no performance data, simulations, or validation, leaving any practical significance unestablished.

    Authors: This is a patent application whose purpose is to disclose the inventive system and method. The contribution is the specific two-stage control architecture: first using image analysis of tailings to make an initial actuator adjustment, followed by image analysis of damaged cleaned grain for a second adjustment. Patent disclosures establish the inventive concept and do not require empirical data, simulations, or validation studies, which would belong in a separate engineering or agronomy publication. The practical significance is therefore in the novel closed-loop sensing and control sequence itself. revision: no

Circularity Check

0 steps flagged

No significant circularity identified

full rationale

This is a patent application whose text consists solely of descriptive claims for a hardware-plus-computing architecture. No equations, derivations, fitted parameters, predictions, or self-citations appear anywhere in the document. The central claim is a proposed closed-loop control sequence (image-based tailings estimation followed by image-based damage estimation, each driving an actuator adjustment) but supplies neither performance data nor any mathematical reduction that could be checked for circularity. Because no load-bearing derivation chain exists, the document is self-contained as a functional specification.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This patent describes a mechanical-electronic system without any mathematical derivations, data fitting, or new physical entities.

pith-pipeline@v0.9.1-grok · 5812 in / 1159 out tokens · 28537 ms · 2026-06-10T02:02:14.593853+00:00 · methodology

discussion (0)

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