A data propagation system stores operator/machine/implement combinations, and corresponding settings data indicative of settings on the machine or implement for the corresponding combination. When a machine is connected to an implement, an identity of an operator is detected, along with an identity of the machine and an identity of the implement. The data propagation system determines whether settings data is available for that operator/machine/implement combination. If so, the settings data is obtained and the machine and implement are automatically controlled based upon the retrieved settings data.

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.

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.

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.

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.

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.

Described herein are methods and harvesters for adjusting settings of a harvester. In one embodiment, a computer implemented method includes capturing, with at least one image capture device that is located on the harvester, images of a field view of an unharvested region to be harvested, analyzing the captured images to determine crop information for a crop of a harvested region that is adjacent to the unharvested region, and adjusting settings or operating parameters of the harvester for the unharvested region based on the crop information for the crop of the harvested region.

Described herein are methods and harvesters for adjusting settings of a harvester. In one embodiment, a computer implemented method includes capturing, with at least one image capture device that is located on the harvester, images of a field view of an unharvested region to be harvested, analyzing the captured images to determine crop information for a crop of a harvested region that is adjacent to the unharvested region, and adjusting settings or operating parameters of the harvester for the unharvested region based on the crop information for the crop of the harvested region.

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.

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.