Abstract: An agricultural work machine includes a geographic position sensor that detects a geographic location of the agricultural work machine. An in-situ sensor detects a value of a dynamic response characteristic of the agricultural work machine corresponding to the geographic location. A predictive model generator generates a predictive model that models a relationship between the terrain feature characteristic and the dynamic response characteristic based on a value of the terrain feature characteristic in a prior information map at the geographic location and a value of the dynamic response characteristic sensed by the in-situ sensor at the geographic location. A predictive map generator generates a functional predictive dynamic response map of the field, that maps predictive values of the dynamic response characteristic to the different geographic locations in the field, based on the values of the terrain feature characteristic in the prior information map and based on the predictive model.

Abstract: An agricultural residue distribution control system associated with an agricultural work vehicle includes one or more sensors configured to collect information of an initial state at a field location including an amount of biomass at the field location, soil characteristics at the field location, or both, during the initial state; and a controller. The controller is configured to: receive the information collected from the one or more sensors of the biomass, the soil characteristics, or both, at the field location during the initial state; acquire a target future state at the field location; generate a residue distribution plan for the target future state at the field location based on the received information collected from the one or more sensors of the amount of biomass, the soil characteristics, or both, at the field location during the initial state; and execute the residue distribution plan to achieve the target future state.

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: Historical and seasonal data is obtained by an agricultural work machine. The historical data provides historical values of agricultural characteristics, which may or may not be geolocated, and the seasonal data provides seasonal values of agricultural characteristics corresponding to a current season. A predictive map generator generates a predictive map that predicts an agricultural characteristic, such as crop state, at different locations in the field based on a relationship between the historical values of agricultural characteristics in the historical data and based on the seasonal values of agricultural characteristics in the seasonal data at those different locations. The predictive map can be output and used in automated machine control.

Abstract: A harvester may include a feeder house, a header mount interface proximate the feeder house; a header removably mounted to the feeder house by the header mount interface, the header having a mount interface for securing the header to a trailer; a sensor to output steering angle signals indicative of a steering angle of the harvester during an approach of the harvester carrying the header towards the trailer, and a controller to output control signals causing the display to overlay a representation of the mount interface on a real-time view of the approach.

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: An agricultural machine including a plurality of grain processing devices, wherein each of the grain processing devices is adapted to process crop material and each of the grain processing devices includes an actuator to adjust a position the processing device. One or more imaging devices are each adapted to image crop material at one or more of the plurality of processing devices. A controller is operatively connected to the imaging device and to at least one of the actuators. The controller is configured to image the crop material to identify characteristics of the imaged crop material and/or imaged non-grain material, to identify grain elements and non-grain elements, determine a position of one of the plurality of processing devices, and adjust the position of the one of the plurality of processing devices based on the identified grain elements or identified non-grain elements.

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: 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 remote operation system for operation of an agriculture machine that provides an operator at a remote station with an operating environment that can emulate aspects of being within the agricultural machine. The remote operation system can utilize a variety of information obtained by a plurality of sensors at least during the operation of the agricultural machine. The plurality of sensors can include one or more agricultural sensors, functional sensors, and condition sensors. A controller can include a priority signal that can prioritize certain information in connection with generating the remote operation environment. Additionally, the remote operation system can amplify the output of at least certain information at the remote operation environment. The remote operation system can also accommodate the remote operator being able to monitor, and, if necessary, adjust the operation of a plurality of agricultural machines that may be simultaneously operating.

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 residue spread monitoring system for an agricultural harvester includes sensors and a controller configured to receive images from the sensors and determine a mode of plume evaluation as a first mode of plume evaluation or a second mode of plume evaluation; determine, in the first mode of plume evaluation, a first spread of the plume of residue based on the residue within the one or more first images; measure, in the second mode of plume evaluation, one or more first characteristics of dust represented in the one or more first images; and process, in the second mode of plume evaluation, the one or more first characteristics of dust is used to obtain the first spread of the plume of residue; and control operation of the agricultural harvester according to the first spread of the plume of residue.

Abstract: A map obtainable by an agricultural harvester contains regime zones with settings resolvers. A plurality of different target actuator settings corresponding to the geographic location of the agricultural work machine are identified. A regime zone is identified based on the geographic location of the agricultural harvester. One of the plurality of different target actuator settings is selected as a resolved target actuator setting based on the settings resolver corresponding to the identified regime zone and is used to control the agricultural harvester.

Abstract: One or more sensors can capture images of at least a portion of crop residue, which can be shown in real time on a display. Information captured by the sensors can be used to determine crop residue parameter information. The crop residue information can pertain to either or both the processing of crop residue by, or the distribution of crop residue from, the agricultural machine. Virtual representations of the crop residue parameter information can overlay at least a portion of, or otherwise be presented in connection with, the captured image shown on the display. The virtual representation can have an appearance that can visually convey the crop residue parameter information to an operator. Such visual representations can include the use of parameter identifiers, graphical shapes, or text, as well as combinations thereof. The virtual representation of the crop residue parameter information can also provide an indication as to whether the crop residue parameter information satisfies a predetermined threshold.

Abstract: A monitoring system for an agricultural machine includes one or more sensors mounted to one or more locations on the agricultural machine and a controller. The controller is configured to: receive a plurality of sensor outputs; determine one or more features of quality for one or more sensor outputs; determine one or more features of merit for the one or more sensor outputs, the one or more features of merit corresponding to operation of the agricultural machine and having one or more confidence scores associated therewith; select a sensor output from the plurality of sensor outputs as a selected sensor output according to the one or more features of quality for the one or more sensor outputs of the plurality of sensor outputs; and control the operation of the agricultural machine according to the one or more features of merit for the selected sensor output.

Abstract: An agricultural machine includes a chassis and a header located at one end of the chassis. The header is configured to harvest a crop in a field. A spreader is located at an opposite end of the chassis and discharges a residue of the harvested crop in a rearward direction from the agricultural machine onto the field. An unloading conveyor has a first end coupled to the chassis and a second end that extends rearwardly from the chassis. A sensor is adjustably coupled to the unloading conveyor and senses a characteristic of the residue as the residue is discharged from the spreader and is distributed onto the field. The sensor is movably adjustable relative to the unloading conveyor.

Abstract: One or more information maps are obtained by an agricultural system. The one or more information maps map one or more characteristic values at different geographic locations in a worksite. An in-situ sensor detects a material dynamics characteristic value as a mobile machine operates at the worksite. A predictive map generator generates a predictive map that predicts a predictive material dynamics characteristic value at different geographic locations in the worksite based on a relationship between the values in the one or more information maps and the material dynamics characteristic value detected by the in-situ sensor. The predictive map can be output and used in automated machine control.