US 2026/0157260 A1 · AUTOMATIC WEAR DETECTION FOR ROW CROP PLANTER TOOLS

Abstract

A computer-implemented method is provided for real-time estimation of wear for a furrow-generating tool associated with an agricultural work machine. In a model development stage, input data sets are generated based on signals received from sensors for various agricultural work machines and planting operations, corresponding at least to values for furrow characteristics (e.g., depth, residue profile) and operating conditions (speed, down force), wherein learning models are trained correlating the input data sets with tool wear. In a current operation stage, values are determined for one or more furrow characteristics and one or more operating conditions based on received input signals from multiple work machine sensors, a current tool wear state is estimated based on the determined values and by reference to at least one of the learning models, and output signals (e.g., control signals, alerts, and/or display signals) are generated corresponding to the estimated current tool wear state.

Claims18

Dependent claims

A computer-implemented method for automatic estimation of wear for a furrow-generating tool associated with an agricultural work machine, the method comprising:

in a model development stage:
generating input data sets based on signals received from a plurality of sensors associated with each of respective agricultural work machines and planting operations, wherein the input data sets correspond at least to values for one or more furrow characteristics and one or more operating conditions;
training one or more learning models correlating the input data sets with tool wear;
and
in a current operation stage for a first agricultural work machine:
determining values for one or more furrow characteristics and one or more operating conditions based on received input signals from a plurality of sensors associated with the first agricultural work machine;
estimating a current tool wear state based on the determined values and by reference to at least one of the one or more learning models;
and
generating an output signal corresponding to the estimated current tool wear state.

6 more elements

A system for automatic estimation of wear for a furrow-generating tool associated with an agricultural work machine, the system comprising:

data storage having stored thereon one or more learning models correlating historical input data sets with tool wear, wherein the input data sets are associated with each of respective agricultural work machines and planting operations, and correspond at least to values for one or more furrow characteristics and one or more operating conditions;
one or more processors functionally linked to a plurality of sensors associated with a first agricultural machine and configured to, in association with a current operation of the first agricultural work machine:
determine values for one or more furrow characteristics and one or more operating conditions based on received input signals from the plurality of sensors;
estimate a current tool wear state based on the determined values and by reference to at least one of the one or more learning models;
and
generate an output signal corresponding to the estimated current tool wear state.

3 more elements

Dependencies are inferred from the claim text.

Automatic wear detection for row crop planter tools

Life of this patent

Automatic wear detection for row crop planter tools

Life of this patent

Abstract

Claims18