Abstract: An example monitoring device for monitoring crop yield is mounted to a housing of a grain elevator of an agricultural work machine proximate a crop conveyor assembly arranged in the housing and has at least one aperture formed therein. A material engagement member is arranged on the mounting structure and is pivotal with respect to the mounting structure about a pivot point. The material engagement member can comprise a first end and a second end opposite of the first end. At least one rotational sensor is arranged in the monitoring device and is configured to detect spatial movement or position of the material engagement member. A processing device is coupled to the at least one rotational sensor and is configured to determine an aggregate crop yield based on the detected rotational magnitude of the displacement of the first end or second end.

Abstract: Stabilizers of an agricultural header can be either, or both, displaceable and deformable in response to engagement with a portion of a crop, such as, for example, a stalk, in a manner that can assist in stabilizing the crop for at least purposes of determining a corresponding cross-sectional size of the crop. Characteristics relating to the displacement or the deformation of the stabilizers can be detected by one or more sensors and communicated to a controller to determine a measured size of the crop. Using the measured size, the controller can determine if the size of the crop corresponds to a current size of a width between deck plates of the header. If the measured size indicates the width is to be adjusted, the controller can selectively operate an actuator that is coupled to at least one of the deck plates to displace at least one deck plate.

Abstract: Systems and methods for controlling agricultural headers based on crop movement relative to a portion of the agricultural header are disclosed. The presence or movement of crop material, such as a crop material representing grain (e.g., ears, heads, or pods of crops (“EHP”)), relative to the harvester header or a portion of the harvester header may be detected, such as by analyzing image data representing one or more images collected over time. Based on a position or movement or both of the crop material relative to the header, one or more parameters of the harvester header may be adjusted, for example, to reduce an amount of grain loss.

Abstract: A computer-implemented method includes obtaining a weed map of a field including a crop, the weed map representing weed plant locations on the field, identifying, based at least in part on the weed map, weed seed locations that represent presence of weed seeds on the field, and generating a control signal for a pre-emergence weed mitigation operation based on the weed seed locations.

Abstract: An agricultural machine includes a seeding system having a seed transport mechanism configured to transport a seed along a transport route. A terahertz-based seed sensor is configured to direct terahertz electromagnetic radiation toward the seed at a sensing location along the transport route and detect terahertz electromagnetic radiation after the terahertz electromagnetic radiation interacts with the seed to provide terahertz data. An actuator is configured to selectively move the seed. A processing system is configured to receive the terahertz data and classify the seed as qualified or non-qualified and to selectively engage the actuator based on whether the seed is classified as qualified or non-qualified.

Abstract: A work vehicle includes an implement coupled to the work vehicle. A global positioning system is communicatively coupled to the work vehicle and is configured for generating a location signal indicative of a location of the work vehicle. At least one sensor is communicatively coupled to the work vehicle and configured for generating first and second sentinel plant characteristic signals indicative of first and second sentinel plant characteristics. A control system is communicatively coupled to the work vehicle and configured to receive the location signal, the first and second sentinel plant characteristic signals, determine an implement action based on a function including the first and second sentinel plant characteristics as variables, and control the implement to execute the implement action in the field.

Abstract: An electronic data processor is configured to identify the component pixels of a harvestable plant component within the obtained image data of plant pixels of the one or more target plants. An edge, boundary or outline of the component pixels is determined. The data processor is configured to detect a size of the harvestable plant component based on the determined edge, boundary or outline of the identified component pixels. A user interface is configured to provide an aggregate, sectional yield, or per row yield based on a detected size of the harvestable plant component for the one or more target plants as an indicator of yield of the one or more plants or standing crop in the field.

Abstract: An off-road mobile work machine data capture system includes a robustly-identifiable sensor module having a task sensor that provides a task sensor signal indicative of a task. The system also includes a processor coupled to the robustly-identifiable sensor module that is configured to issue a challenge to the robustly-identifiable sensor module and compare a response from the robustly-identifiable sensor module to an expected response to authenticate the robustly-identifiable sensor module. The processor is further configured to generate an indication of authentication failure if the response from the robustly-identifiable sensor module does not match the expected response.

Abstract: An electronic data processor is configured to estimate a spatial region of interest of plant pixels of one or more target plants in the obtained image data for a harvestable plant component and its associated harvestable plant component pixels of the harvestable plant component. The electronic data processor is configured to identify the component pixels of a harvestable plant component within the obtained image data of plant pixels of the one or more target plants. An edge, boundary or outline of the component pixels is determined. The data processor is configured to detect a size of the harvestable plant component based on the determined edge, boundary or outline of the identified component pixels. A user interface is configured to provide the detected size of the harvestable plant component for the one or more target plants as an indicator of yield of the one or more plants or standing crop in the field.

Abstract: An agricultural harvesting machine includes crop processing functionality configured to engage crop in a field, perform a crop processing operation on the crop, and move the processed crop to a harvested crop repository, and a control system configured to identify a weed seed area indicating presence of weed seeds, and generate a control signal associated with a pre-emergence weed seed treatment operation based on the identified weed seed area.

Abstract: An agricultural harvesting machine includes crop processing functionality configured to engage crop in a field, perform a crop processing operation on the crop, and move the processed crop to a harvested crop repository, and a control system configured to identify a weed seed area indicating presence of weed seeds, and generate a control signal associated with a pre-emergence weed seed treatment operation based on the identified weed seed area.

Abstract: Receivers are arranged to detect a corresponding observed phase shift, observed attenuation or other observed signal parameters for its respective microphone. An electronic data processor is adapted to estimate a distribution or quantity of material on the sieve based on the observed phase shift, the observed attenuation or the other observed signal parameters relative to a reference phase shift, a reference attenuation or other reference signal parameter. The operator can be alerted via a user interface if the material on the sieve is unevenly distributed or matches a preestablished distribution profile, or the sieve can be adjusted by an actuator to promote a generally uniform distribution.

Abstract: Systems and methods for controlling agricultural headers based on crop movement relative to a portion of the agricultural header are disclosed. The presence or movement of crop material, such as a crop material representing grain (e.g., ears, heads, or pods of crops (“EHP”)), relative to the harvester header or a portion of the harvester header may be detected, such as by analyzing image data representing one or more images collected over time. Based on a position or movement or both of the crop material relative to the header, one or more parameters of the harvester header may be adjusted, for example, to reduce an amount of grain loss.

Abstract: An electronic data processor is configured to identify the component pixels of a harvestable plant component within the obtained image data of plant pixels of the one or more target plants. An edge, boundary or outline of the component pixels is determined. The data processor is configured to detect a size of the harvestable plant component based on the determined edge, boundary or outline of the identified component pixels. A user interface is configured to provide an aggregate, sectional yield, or per row yield based on a detected size of the harvestable plant component for the one or more target plants as an indicator of yield of the one or more plants or standing crop in the field.

Abstract: An electronic data processor is configured to estimate a spatial region of interest of plant pixels of one or more target plants in the obtained image data for a harvestable plant component and its associated harvestable plant component pixels of the harvestable plant component. The electronic data processor is configured to identify the component pixels of a harvestable plant component within the obtained image data of plant pixels of the one or more target plants. An edge, boundary or outline of the component pixels is determined. The data processor is configured to detect a size of the harvestable plant component based on the determined edge, boundary or outline of the identified component pixels. A user interface is configured to provide the detected size of the harvestable plant component for the one or more target plants as an indicator of yield of the one or more plants or standing crop in the field.

Abstract: An data processor is configured to identify the component pixels of a harvestable plant component within an obtained image data of plant pixels of the one or more target plants. An edge, boundary or outline of the component pixels is determined. The data processor is configured to detect a size of the harvestable plant component based on the determined edge, boundary or outline of the identified component pixels, along with an adjustment based on analysis of any exposed portions of the harvestable plant component. A user interface is configured to provide a yield indicator based on the detected size of the harvestable plant component.

Abstract: An off-road mobile work machine data capture system includes a robustly-identifiable sensor module having a task sensor that provides a task sensor signal indicative of a task. The system also includes a processor coupled to the robustly-identifiable sensor module that is configured to issue a challenge to the robustly-identifiable sensor module and compare a response from the robustly-identifiable sensor module to an expected response to authenticate the robustly-identifiable sensor module. The processor is further configured to generate an indication of authentication failure if the response from the robustly-identifiable sensor module does not match the expected response.

Abstract: An agricultural harvesting machine includes crop processing functionality configured to engage crop in a field, perform a crop processing operation on the crop, and move the processed crop to a harvested crop repository, and a control system configured to identify a weed seed area indicating presence of weed seeds, and generate a control signal associated with a pre-emergence weed seed treatment operation based on the identified weed seed area.

Abstract: A computer-implemented method includes obtaining a weed map of a field including a crop, the weed map representing weed plant locations on the field, identifying, based at least in part on the weed map, weed seed locations that represent presence of weed seeds on the field, and generating a control signal for a pre-emergence weed mitigation operation based on the weed seed locations.

Abstract: A monitoring device for monitoring crop yield is disclosed. The monitoring device is mounted to a housing of a grain elevator of an agricultural work machine proximate a crop conveyor assembly arranged in the housing and has at least one aperture formed therein. A material engagement member is arranged on the mounting structure and is pivotal with respect to the mounting structure about a pivot point. The material engagement member can comprise first end and a second end opposite of the first end. At least one rotational sensor is arranged in the monitoring device and is configured to detect spatial movement or position of the material engagement member. A processing device is coupled to the at least one rotational sensor and is configured to determine an aggregate crop yield based on the detected rotational magnitude of the displacement of the first end or second end.