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USPTO: us-12628723 · published 2026-05-19 · patents · A01B 79/005· G01S 13/89

Autonomous control system of a weeding tool connected to an agricultural vehicle

Pith reviewed 2026-05-20 09:30 UTC · model grok-4.3

classification patents A01B 79/005G01S 13/89
keywords autonomous weedingagricultural vehicle3D sensorobstacle mappingtool retractionpole detectiongeoreferencing
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The pith

An agricultural vehicle uses a 3D sensor and geolocation to retract a weeding tool automatically when it approaches poles or trunks.

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

The patent describes a control system that lets a weeding tool extend sideways for normal operation yet pull back when the vehicle nears an obstacle. A forward-facing 3D sensor builds a local map of poles and trunks while a geolocation unit tags their positions. The electronic control unit repeatedly finds the nearest obstacle, measures its distance to the tool, and issues an extend or retract command according to a fixed threshold. This arrangement aims to keep the tool working in open rows while protecting both the equipment and the obstacles from collisions.

Core claim

The electronic control unit generates a georeferenced map of poles and trunks from successive point clouds, identifies the closest one to the weeding tool, and commands the extended weeding condition only when that distance exceeds a chosen threshold; otherwise it commands the retracted condition.

What carries the argument

Electronic control unit that converts 3D point clouds into a georeferenced obstacle map and switches the tool between extended and retracted states on the basis of distance to the nearest mapped pole or trunk.

If this is right

  • Weeding can continue without constant manual oversight near scattered obstacles.
  • Mechanical damage to both the tool and permanent field structures is reduced.
  • The same sensing and mapping pipeline can be reused for other laterally deployed implements.

Where Pith is reading between the lines

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

  • The threshold distance could be made speed-dependent to give earlier retraction at higher travel speeds.
  • Integration with existing row-following guidance systems would allow fully automatic passes through orchards or vineyards.

Load-bearing premise

The 3D sensor and mapping steps will detect and locate every relevant pole or trunk accurately enough that the tool never collides.

What would settle it

A controlled drive past a known pole or trunk in which the weeding tool remains extended and contacts the obstacle.

read the original abstract

1 . An autonomous control system of a weeding tool connected to an agricultural vehicle, wherein the weeding tool is configured to assume a weeding condition and a retracted condition, the weeding condition includes a distension of the weeding tool in a direction approximately lateral to a longitudinal development of the agricultural vehicle, and the autonomous control system includes: a 3D sensor associated with a front part of the agricultural vehicle and configured to acquire a point cloud corresponding to a scenario in front of the agricultural vehicle; a geolocation device configured to cyclically acquire a position of the agricultural vehicle; an electronic control unit configured to cyclically: generate a map of poles, trunks, or a combination thereof, detected by the 3D sensor using the point cloud; georeference the poles, the trunks, or the combination thereof, on the basis, at least, of the position of the agricultural vehicle acquired by the geolocation device; identify the pole or the trunk closest to the weeding tool; determine a distance between the weeding tool and the closest pole or trunk; and command the weeding condition of the weeding tool in response to determining the distance is greater than a threshold distance, and command a retraction the retracted condition of the weeding tool in response to determining the distance is less than or equal to the threshold distance.

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

1 major / 1 minor

Summary. The manuscript is a U.S. patent that claims an autonomous control system for a weeding tool mounted on an agricultural vehicle. A forward-facing 3D sensor acquires point clouds that are processed by an electronic control unit to generate and georeference a map of poles and trunks; the unit then identifies the nearest obstacle, compares its distance to the tool against a fixed threshold, and commands extension of the tool when the distance exceeds the threshold or retraction when the distance is at or below the threshold.

Significance. If the described sensing and control pipeline can be realized with adequate reliability, the system would provide a concrete engineering solution for collision avoidance during lateral weeding operations, potentially reducing equipment damage and operator intervention in orchards or vineyards.

major comments (1)
  1. The central functional claim (Abstract, claim 1) rests entirely on the untested premise that the 3D sensor and mapping pipeline will produce sufficiently accurate, low-latency localization of poles and trunks under real agricultural conditions; no error budgets, false-negative rates, or field-validation results are supplied, leaving the core safety assertion unevaluated.
minor comments (1)
  1. The patent text does not define the numerical value or selection method for the threshold distance, nor does it specify sensor mounting geometry or update rate.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the careful reading and for highlighting the distinction between a patent disclosure and an experimental validation study. Below we address the single major comment directly. Our response clarifies the scope of the patent claims without altering their technical content.

read point-by-point responses
  1. Referee: The central functional claim (Abstract, claim 1) rests entirely on the untested premise that the 3D sensor and mapping pipeline will produce sufficiently accurate, low-latency localization of poles and trunks under real agricultural conditions; no error budgets, false-negative rates, or field-validation results are supplied, leaving the core safety assertion unevaluated.

    Authors: We agree that the patent does not contain quantitative error budgets, false-negative rates, or field-test data. A U.S. patent application is required to describe an operable invention in sufficient detail for a person skilled in the art to make and use it; it is not required to furnish performance statistics or safety-validation results. The claims define a specific sensing-and-control architecture (forward 3D point-cloud acquisition, georeferenced mapping of poles/trunks, nearest-obstacle distance check against a threshold, and consequent extension/retraction commands). Realization of adequate reliability is left to the implementer, who may combine the claimed pipeline with any suitable sensor, filtering, or redundancy measures. Consequently we do not believe additional numerical validation belongs in the patent text itself. revision: no

Circularity Check

0 steps flagged

No circularity: direct engineering specification

full rationale

The patent text states an explicit control rule (command weeding condition when distance > threshold, retracted condition otherwise) as a functional claim. No equations, fitted parameters, predictions, derivations, or self-citations appear anywhere in the document. The logic is presented as an engineering design choice with no reduction to prior inputs or self-referential steps.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

The patent rests on the engineering premise that a 3D sensor plus geolocation can produce sufficiently accurate real-time obstacle maps; no free parameters, mathematical axioms, or newly postulated physical entities are introduced.

pith-pipeline@v0.9.0 · 5792 in / 1039 out tokens · 25569 ms · 2026-05-20T09:30:46.460870+00:00 · methodology

discussion (0)

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