Abstract: A material transfer machine includes a material receptacle that holds material and a material transfer subsystem operable to transfer the material from the material receptacle to another location during a material transfer operation. The material transfer machine further includes: a material transfer status sensor that detects a variable indicative of whether the material transfer operation is complete at least to a threshold level and generates sensor data indicative of the variable; one or more processors; memory; and computer executable instructions, stored in the memory, the computer executable instructions, when executed by the one or more processors, configuring the one or more processors to obtain the sensor data generated by the material transfer status sensor; determine whether the material transfer operation is complete, at least to the threshold level, based on the sensor data; and generate a control signal based on the determination.

Abstract: A material transfer machine includes a material receptacle that holds material and a material transfer subsystem operable to transfer the material from the material receptacle to another location, the material transfer subsystem comprising a chute moveable between a deployed position and a storage position and an actuator that drives movement of the chute between the deployed position and the storage position. The material transfer machine further includes one or more processors, memory, and computer executable instructions, stored in the memory, that, when executed by the one or more processors, configure the one or more processors to: receive an input indicating that the chute should be moved from the deployed position to the storage position; identify a swing zone defining an area in which the chute will travel when moved from the deployed position to the storage position by the actuator; and generate a control signal based on the determination.

Abstract: A material transfer machine includes a material receptacle that holds material and a material transfer subsystem operable to transfer the material from the material receptacle to another location, the material transfer subsystem comprising a chute moveable between a storage position and a deployed position and an actuator that drives movement of the chute between the storage position and the deployed position. The material transfer machine further includes one or more processors, memory, and computer executable instructions, stored in the memory, that, when executed by the one or more processors, configure the one or more processors to: receive an input indicating that the chute should be moved from the storage position to the deployed position; identify a swing zone defining an area in which the chute will travel when moved from the storage position to the deployed position by the actuator; and generate a control signal based on the determination.

Abstract: An information map is obtained by an agricultural system. The information map maps values of a characteristic at different geographic locations in a worksite. An in-situ sensor detects tractive characteristic values as a mobile agricultural machine operates at the worksite. A predictive map generator generates a predictive map that maps predictive tractive characteristic values at different geographic locations in the worksite based on a relationship between values of the characteristic in the information map and tractive characteristic values detected 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 method of operating a grain harvesting machine includes: capturing images of a crop material flow in an image capture area of the grain harvesting machine; identifying a plurality of grain elements in the images; determining a velocity of each of the grain elements; determining whether each of the grain elements is likely to be overblown out of the grain harvesting machine based at least in part on the velocity of each of the grain elements; and controlling a subsystem of the grain harvesting machine at least in part based upon the determination of whether the grain elements are likely to be overblown. A grain harvesting machine for performing such a method is also disclosed.

Abstract: An agricultural system includes an in-situ sensor that detects a value of a dynamic response characteristic corresponding to a first geographic location, of a plurality of different geographic locations, in a field, one or more processors, and memory storing instructions executable by the one or more processors. The instructions, when executed by the one or more processors, configure the one or more processors to: obtain an information map that includes values of an agricultural characteristic corresponding to the plurality of different geographic locations in the field, identify a predictive value of the dynamic response characteristic corresponding to a second geographic location in the field based on the value of the dynamic response characteristic corresponding to the first geographic location and a value of the agricultural characteristic corresponding to the first geographic location; and control the agricultural work machine based on the predictive value of the dynamic response characteristic.

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 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: A method of operating a grain harvesting machine includes: capturing images of a crop material flow in an image capture area of the grain harvesting machine, the crop material flow including known grain elements, known material other than grain (MOG) elements, and unknown elements not yet identified as grain or MOG; identifying one or more of the unknown elements in the images; determining a velocity of each of the identified unknown elements; based on the velocity of each of the identified unknown elements, determining whether each of the identified unknown elements is grain or MOG; and controlling a subsystem of the grain harvesting machine at least in part based upon the determination of whether each of the identified unknown elements is grain or MOG.

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: 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: 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 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.