Method, vehicle and system for weed control management

Andrew Charles Chapple, Langenfeld (DE); Malcolm Faers, Düsseldorf (DE)

USPTO: us-12628730 · published 2026-05-19 · patents · A01C 14/00· A01B 69/00· A01M 7/00· A01M 21/00· A01M 21/043· B64D 1/18· G01N 33/00· G01S 7/4034

Method, vehicle and system for weed control management

Malcolm Faers, Düsseldorf (DE) , Andrew Charles Chapple, Langenfeld (DE) This is my paper

Pith reviewed 2026-05-20 13:01 UTC · model grok-4.3

classification patents A01C 14/00A01B 69/00A01M 7/00A01M 21/00A01M 21/043B64D 1/18G01N 33/00G01S 7/4034

keywords weed controlsoil elevation mappinggeopositioningprecision agriculturespray mappingcrop seed map

0 comments

The pith

Repeated soil elevation maps compared to crop seed positions reveal weed locations for targeted spraying.

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

The patent describes a method that first records the exact locations of planted crop seeds. It then captures soil surface elevation data over the same field at two or more separate times and produces corresponding profile maps. By subtracting the maps while accounting for known seed positions and expected crop growth, the method isolates elevation changes that cannot be explained by the crops themselves. These unexplained changes are used to build a spray map that directs weed-control agents only to the affected spots. A reader would care because the approach offers a non-visual route to site-specific weed management that could lower total chemical use.

Core claim

Acquiring geopositional crop-seed data together with soil-elevation measurements at multiple time points allows construction of soil-surface profile maps; subtracting these maps while referencing the seed map isolates elevation differences not attributable to crop growth; those differences directly generate a weed-control spray map.

What carries the argument

Comparison of successive soil-surface profile maps against a crop-seed map to extract elevation differences unrelated to planted seeds.

Load-bearing premise

Elevation differences that remain after accounting for crop-seed growth are caused by weeds rather than by animals, wind, measurement error, or other disturbances.

What would settle it

A controlled field trial in which known non-weed disturbances (animal tracks, wind-blown soil, sensor noise) produce elevation changes that the method nevertheless marks for spraying.

read the original abstract

1 . A method to control weeds comprising the steps of: a) acquiring geopositional information of planted crop seeds on an agricultural field and generating a crop seed map; b) acquiring soil elevation data and the corresponding geopositional information of the soil elevation on the agricultural field where the crop seeds have been planted or are being planted at at least two different time points and generating soil surface profile maps of the agricultural field, the soil surface profile maps showing the soil surface profiles at the at least two different time points; c) comparing the soil surface profile maps and the crop seed map to identify differences in the soil elevation profile that are not associated with seed growth of the planted seeds on the agricultural field; d) generating a weed control agent spray map on the basis of the differences in the identified soil elevations on the agricultural field that are not associated with seed growth of the planted crop seeds on the agricultural field.

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.

Desk Editor's Note private letter to a colleague

Patent claims a straightforward elevation-difference method for spotting weeds after masking crop seeds, but supplies no validation or noise filters.

read the letter

The core idea here is to build a spray map by subtracting a known crop-seed position layer from multi-temporal soil-elevation maps and treating the residual height changes as weeds. That combination is a specific engineering choice rather than a new physical principle, and it sits inside the existing precision-agriculture toolkit of GPS mapping plus variable-rate application. The patent text is clear on the sequence of steps and avoids circular fitting or invented parameters, which keeps the description clean. What it does not do is show any field data, error budgets, or thresholds that would separate weed-induced micro-relief from tire tracks, wind erosion, animal activity, or simple sensor drift between the two survey times. Because this is a patent filing rather than a results paper, the absence of those checks is expected, but it also means the central assumption remains untested in the document itself. For someone already working on LiDAR or stereo-camera weed detection hardware, the procedural outline could serve as a quick reference for one possible masking approach. For anyone looking for reproducible evidence or a quantitative advance, the document offers none. I would not bring it to a reading group, would not cite it in a methods section, and would not send it to peer review; it is a patent claim, not a scientific result that needs referee scrutiny.

Referee Report

1 major / 1 minor

Summary. The manuscript presents a method for weed control that acquires geopositional data of planted crop seeds to generate a crop-seed map, collects soil-elevation measurements and corresponding positions at least two distinct times to produce soil-surface-profile maps, compares the maps against the seed map to isolate elevation changes unrelated to crop-seed growth, and derives a targeted weed-control spray map from the residual elevation differences.

Significance. If the core assumption holds, the approach could enable spatially precise, non-visual weed detection without requiring spectral or morphological classifiers. However, the manuscript supplies only a procedural description and contains no empirical validation, error analysis, or calibration data, so the claimed advantage remains untested.

major comments (1)

[Step (c)] Step (c) of the method (abstract and corresponding description): the identification of 'differences in the soil elevation profile that are not associated with seed growth' is treated as a direct proxy for weed locations, yet the text provides neither a quantitative threshold, temporal filter, nor auxiliary sensor to exclude confounding elevation changes caused by wind erosion, animal tracks, tire compaction, or measurement noise between the two acquisition epochs.

minor comments (1)

[Abstract] The phrasing in step (b) contains a repeated 'at at least two different time points'; a single occurrence would improve readability.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the careful reading and for highlighting an important implementation consideration. We respond to the single major comment below.

read point-by-point responses

Referee: [Step (c)] Step (c) of the method (abstract and corresponding description): the identification of 'differences in the soil elevation profile that are not associated with seed growth' is treated as a direct proxy for weed locations, yet the text provides neither a quantitative threshold, temporal filter, nor auxiliary sensor to exclude confounding elevation changes caused by wind erosion, animal tracks, tire compaction, or measurement noise between the two acquisition epochs.

Authors: The patent claims a general framework rather than a specific signal-processing pipeline. Any practical realization of step (c) necessarily includes the selection of a detection threshold, a temporal consistency filter, or fusion with auxiliary sensors; these choices are left to the skilled implementer because they depend on crop species, soil type, sensor accuracy, and local environmental conditions. The inventive concept resides in the use of the crop-seed geoposition map as a reference to isolate non-crop elevation changes, not in prescribing fixed numerical values. Consequently we do not believe a revision of the claims is warranted. revision: no

Circularity Check

0 steps flagged

No circularity; purely procedural method with no derivations or fitted predictions

full rationale

The patent describes a sequence of data-acquisition and comparison steps for generating a spray map. No equations, parameters, or predictions are derived from prior results within the document; the central claim is a workflow whose validity rests on external agronomic assumptions rather than internal self-reference or self-citation chains. Consequently the derivation chain is empty and the circularity score is zero.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

The method rests on the untested premise that elevation anomalies outside seed locations correspond to weeds; no free parameters, axioms, or invented entities are explicitly introduced in the abstract.

pith-pipeline@v0.9.0 · 5754 in / 953 out tokens · 26236 ms · 2026-05-20T13:01:00.403967+00:00 · methodology

Method, vehicle and system for weed control management

Core claim

What carries the argument

Load-bearing premise

What would settle it

discussion (0)