Relative flow detection, error detection and control of agricultural application device
AssigneeDeere & Company
InventorsBenjamin I. GOLDBERG, Samuel E. MARX, Kenneth E. HERRMANN, Jordan J. RUBY, Haifeng ZHANG
Life of this patent
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Abstract
An application device on an agricultural machine includes a valve and an actuator that is controlled to apply liquid material, through a spray tip, to a field. Pressure is sensed between the valve and the spray tip. A machine learning-based detector detects a state of the applicator, such as whether the spray tip is partially or fully blocked or is missing. A control signal is generated based on the detected state of the applicator.
Claims20
A computer implemented method, comprising:
- detecting a liquid pressure in an applicator down stream of an applicator flow control valve and upstream of an applicator spray tip on an agricultural application machine;
- generating a pressure signal based on the detected liquid pressure;
- generating an applicator parameter based on the pressure signal;
- applying the applicator parameter to a machine learning-based (ML-based) classification system;
- generating a classification output, with the ML-based classification system, indicative of a state of the applicator based on the applicator parameter;
- and
- generating a control signal based on the classification output.
An agricultural system, comprising:
- an application machine having a plurality of applicators that apply liquid to a field, each applicator having a controllable valve, that opens to pass liquid through the valve, and a spray tip that receives the liquid that passes through the valve and that applies the liquid to the field;
- a plurality of applicator pressure sensors, each applicator pressure sensor being mounted to a corresponding applicator and being configured to sense liquid pressure between the controllable valve and the spray tip of the corresponding applicator;
- a central flow system configured to pump the liquid from a reservoir to the plurality of applicators;
- an application detection and control system configured to generate an applicator parameter for each applicator based on the liquid pressure sensed by the corresponding applicator pressure sensor;
- a machine learning-based (ML-based) classification system configured to generate a classification output indicative of a state of the applicator based on the applicator parameter;
- and
- a control signal generator configured to generate a control signal based on the classification output.
An agricultural application system, comprising:
- a plurality of applicators that apply liquid to a field;
- a plurality of controllable valves, a controllable valve of the plurality of controllable valves mounted to a corresponding actuator, each of the plurality of controllable valves being configured to open to pass liquid through the controllable valve;
- a spray tip, mounted to each applicator, that receives the liquid that passes through the corresponding valve and that applies the liquid to the field;
- a plurality of applicator pressure sensors, each applicator pressure sensor being mounted to a corresponding applicator and being configured to sense liquid pressure between the corresponding controllable valve and the corresponding spray tip of the corresponding applicator;
- a central flow system configured to pump the liquid from a reservoir to the plurality of applicators;
- an application detection and control system configured to generate an applicator parameter for each applicator based on the liquid pressure sensed by the corresponding applicator pressure sensor;
- a machine learning-based (ML-based) classification system configured to generate a classification output indicative of a state of the applicator based on the applicator parameter;
- and
- a control signal generator configured to generate a control signal based on the classification output.
Dependencies are inferred from the claim text.