DYNAMIC GENERATION OF EXPERIMENTAL TREATMENT PLANS

    公开(公告)号:US20230403988A1

    公开(公告)日:2023-12-21

    申请号:US17840856

    申请日:2022-06-15

    CPC classification number: A01G7/06 A01M7/0089 A01C21/005

    Abstract: A farming machine is configured to autonomously operate in a field to accomplish a farming objective. While doing so the farming machine can dynamically modify treatment plans and/or generate experimental treatment plans. Dynamically modifying treatment plans includes modifying, delaying, accelerating, adding, and/or removing farming actions in a treatment plan. Generating an experimental treatment plan includes intentionally modifying a treatment plan to induce a variance in a result, measuring the result, and determining whether the result from the experimental treatment plan is better than the unmodified treatment plan. The farming machine is also configured to generate user interactable feedback, and receive user generated instruction, to dynamically modify treatment plans and/or generate experimental treatment plans.

    COMPENSATORY ACTIONS FOR AUTOMATED FARMING MACHINE FAILURE

    公开(公告)号:US20230205195A1

    公开(公告)日:2023-06-29

    申请号:US17564076

    申请日:2021-12-28

    CPC classification number: G05B23/0283 G05B23/024 G05B23/0235 G05B2223/04

    Abstract: As a farming machine travels through a field of plants, the farming machine operates in a normal operational state to perform one or more farming operations. The farming machine detects an operational failure of a component of the farming machine using measurements obtained from one or more sensors coupled to and monitoring the farming machine. The operational failure of the component impacts performance of a first farming operation of the farming operations. The farming machine configures the farming machine to operate in a remedial operational state. In the remedial operational state, the farming machine diagnoses the operational failure of the component using the obtained measurements. In the remedial operational state, the farming machine selects a solution operation to address the operational failure of the component based on the diagnosis. The farming machine performs the determined solution operation.

    Dynamic tank management based on previous environment and machine measurements

    公开(公告)号:US12127552B2

    公开(公告)日:2024-10-29

    申请号:US17538912

    申请日:2021-11-30

    CPC classification number: A01M7/0089 G05D1/0219 G06V20/188

    Abstract: Historical information is accessed that describes a previous state of a field, previous environmental conditions for the field, and previous farming machine actions performed in the field. A tank management model is applied to the historical information to determine expected weed densities within field portions and an amount of treatment fluid required to treat plants within the field. While the farming machine is treating plants in the field, current information describing a current state of the field is accessed. The tank management model is applied to the current information to determine updated weed densities within field portions not yet treated. The farming machine performs a modified plant treatment action based on the updated weed densities and a comparison of a remaining amount of treatment fluid within a tank of the farming machine and an updated amount of treatment fluid for treating plants within field portions not yet treated.

    DYNAMIC TANK MANAGEMENT BASED ON PREVIOUS ENVIRONMENT AND MACHINE MEASUREMENTS

    公开(公告)号:US20250008940A1

    公开(公告)日:2025-01-09

    申请号:US18889681

    申请日:2024-09-19

    Abstract: Historical information is accessed that describes a previous state of a field, previous environmental conditions for the field, and previous farming machine actions performed in the field. A tank management model is applied to the historical information to determine expected weed densities within field portions and an amount of treatment fluid required to treat plants within the field. While the farming machine is treating plants in the field, current information describing a current state of the field is accessed. The tank management model is applied to the current information to determine updated weed densities within field portions not yet treated. The farming machine performs a modified plant treatment action based on the updated weed densities and a comparison of a remaining amount of treatment fluid within a tank of the farming machine and an updated amount of treatment fluid for treating plants within field portions not yet treated.

    Compensatory Actions for Automated Farming Machine Failure

    公开(公告)号:US20230200286A1

    公开(公告)日:2023-06-29

    申请号:US17564068

    申请日:2021-12-28

    CPC classification number: A01B79/005

    Abstract: As a farming machine travels through a field of plants, the farming machine operates in a normal operational state to perform one or more farming operations. The farming machine detects an operational failure of a component of the farming machine using measurements obtained from one or more sensors coupled to and monitoring the farming machine. The operational failure of the component impacts performance of a first farming operation of the farming operations. The farming machine configures the farming machine to operate in a remedial operational state. In the remedial operational state, the farming machine diagnoses the operational failure of the component using the obtained measurements. In the remedial operational state, the farming machine selects a solution operation to address the operational failure of the component based on the diagnosis. The farming machine performs the determined solution operation.

    DYNAMIC TANK MANAGEMENT BASED ON PREVIOUS ENVIRONMENT AND MACHINE MEASUREMENTS

    公开(公告)号:US20230165234A1

    公开(公告)日:2023-06-01

    申请号:US17538912

    申请日:2021-11-30

    CPC classification number: A01M7/0089 G05D1/0219 G06V20/188 G05D2201/0201

    Abstract: Historical information is accessed that describes a previous state of a field, previous environmental conditions for the field, and previous farming machine actions performed in the field. A tank management model is applied to the historical information to determine expected weed densities within field portions and an amount of treatment fluid required to treat plants within the field. While the farming machine is treating plants in the field, current information describing a current state of the field is accessed. The tank management model is applied to the current information to determine updated weed densities within field portions not yet treated. The farming machine performs a modified plant treatment action based on the updated weed densities and a comparison of a remaining amount of treatment fluid within a tank of the farming machine and an updated amount of treatment fluid for treating plants within field portions not yet treated.

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