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: A system for filling a feed mixer, the system comprising: a feed intake device configured to take in a feedstock from a stockpile; a feed processing system for processing the feedstock and directing the processed feedstock into a container of the feed mixer; and a controller associated with the feed processing system, the controller configured to control processing of the feedstock by the feed processing system based on a prescribed recipe.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: A device for detecting wear of a wear member composed of electrically resistive material. The wear member comprises at least two electrodes separated from each other, where each electrode overlies, or is embedded in, an outer surface of the electrically resistive material. One of the electrodes is connected to a resistor at a measurement node to form a resistive voltage divider. A voltage measurement device measures a change in voltage at the measurement node, where the change is voltage is indicative of the degree of removal of resistive material from a face of the wear member and where the change in voltage is continuously variable and not limited to discrete wear levels.

Abstract: A method for remediating developmentally delayed plants within a field of crops using at least one work vehicle during a field operation. The method comprises identifying delayed plants within the field with a sensor on the work vehicle and generating, with a processor, location data associated with the location of the delayed plant with the field. Upon arriving at the location of the delayed plant with the work vehicle, the delayed plant is remediated.

Abstract: An agricultural system with an agricultural harvester has a terahertz sensor. The terahertz sensor includes at least one a terahertz source disposed to direct electromagnetic radiation toward a harvest material of the agricultural harvester. A terahertz detector is disposed to detect the terahertz electromagnetic radiation after the terahertz electromagnetic radiation interacts with the harvest material. A controller is operably coupled to the terahertz detector and is configured to detect a harvest-related parameter based on a signal from the terahertz detector and to perform an action based on a detected parameter.

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: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: A radio frequency (RF) grain mass and constituent measurement system utilized onboard a combine harvester includes an RF sensor subsystem for capturing RF sensor readings of a harvested grain within an area of the combine harvester. A memory stores an RF characteristic database, which contains RF characteristic testing data collected for tested grain samples over one or more tested frequency ranges. A controller, operably coupled to the RF sensor subsystem and to the memory, is configured to: (i) receive the RF sensor readings from the RF sensor subsystem; (ii) determine grain mass and a first constituent content of the currently-harvested grain based, at least in part, on an analytical comparison between the RF sensor readings and the RF characteristic testing data; and (iii) perform at least one action in response to determining the grain mass and the first constituent content of the harvested grain.

Abstract: Compound headers may include two or more crop harvester types that are operable to harvest different crops simultaneously, such as different crops grown in the same field in an intercropped relationship. The simultaneously harvested crops may be separated into individual crop flows that are handled separately from each other.

Abstract: Control zones are identified on a thematic map and work machine actuator settings are identified for each control zone. A position of the work machine is sensed and actuators on the work machine are controlled based on the control zone that the work machine is in, and based upon the actuator settings corresponding to the control zone. The control zone is then divided, on a display, into a harvested portion of the control zone on which an observed condition value is shown, and control zone that has yet to be harvested, on which an estimated value of the condition is shown.

Abstract: A priori geo-referenced data is obtained for a worksite, along with field data that is collected by a sensor on a work machine that is performing an operation at the worksite. A predictive model is generated, while the machine is performing the operation, based on the geo-referenced data and the field data. A model quality metric is generated for the predictive model and is used to determine whether the predictive model is a qualified predicative model. If so, a control system controls a subsystem of the work machine, using the qualified predictive model, and a position of the work machine, to perform the operation.

Abstract: A method of controlling a work machine on a worksite includes receiving an indication of a work machine assignment having a worksite location and corresponding assignment criteria associated with completion of the work machine assignment, receiving a set of worksite conditions at the location, and identifying a set of machine capabilities, each machine capability corresponding to operation of a controllable subsystem on the work machine. The method includes generating a likelihood metric indicative of a likelihood that the assignment criteria will be met based on the set of worksite conditions and the set of machine capabilities, comparing the likelihood metric to a threshold, and generating a control signal that controls the work machine based on the comparison.

Abstract: A mobile agricultural machine includes a header configured to engage crop at a worksite and a controllable header actuator configured to drive movement of the header relative to a surface of the worksite. The mobile agricultural machine further includes a crop constituent sensor system configured to sense the crop and generate a crop constituent sensor signal indicative of a value of a constituent of the crop. The mobile agricultural machine further includes a control system configured to generate a control signal to control the mobile agricultural machine based on the detected value of the constituent of the crop.

Abstract: A map is obtained by an agricultural system. The map includes values of one or more characteristics at different geographic locations in a worksite. In-situ sensor data indicative of values of one or more crop constituents at cut heights is obtained as the mobile machine operates at the worksite. A predictive model generator generates a predictive model that models a relationship between values of the one or more crop constituents at cut heights and the values of the one or more characteristics in the map. A predictive map generator generates a predictive map that predicts values of the one or more crop constituents at two or more cut heights at different geographic locations in the worksite based on the predictive model. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: In accordance with an example embodiment, a system and method for obscurant mitigation is disclosed. The system comprises an obscurant assessor configured to characterize one or more characteristics of a detected obscurant and generate an obscurant model; an obscurant mitigator configured to perform one or more mitigation operations; and a controller communicatively coupled to each of the obscurant assessor and the obscurant mitigator. The controller is configured to receive an output signal from a vehicle sensor corresponding to a detected obscurant level and determine if the detected obscurant level exceeds a predetermined threshold. The controller generates an obscurant mitigation plan if the detected obscurant level exceeds the predetermined threshold based on the obscurant model generated by the obscurant assessor; and controls operations of an obscurant mitigator based on the obscurant mitigation plan to reduce the detected obscurant level.

Abstract: Control zones are identified on a thematic map and work machine actuator settings are identified for each control zone. A position of the work machine is sensed and actuators on the work machine are controlled based on the control zone that the work machine is in, and based upon the actuator settings corresponding to the control zone. The control zone is then divided, on a near real-time display, into a harvested portion of the control zone on which an observed condition value is shown, and control zone that has yet to be harvested, on which an estimated value of the condition is shown.