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 mass flow value as a mobile machine operates at the worksite. A predictive map generator generates a predictive map that maps predictive mass flow values or predictive yield values at different geographic locations in the worksite based on a relationship between the values in the one or more information maps and the mass flow value detected by the in-situ sensor or the yield value based on the detected mass flow value. The predictive map can be output and used in automated machine control.

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 weed value as a mobile machine operates at the worksite. A predictive map generator generates a predictive map that maps predictive weed values at different geographic locations in the worksite based on a relationship between the values in the one or more information maps and the weed value detected by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: An agricultural harvesting system includes a control system. The control system identifies a predictive value of a power characteristic based on a relationship between the power characteristic and a characteristic. The control system generates a control signal to control a controllable subsystem of a mobile hybrid agricultural harvesting machine based on the predictive value of the power characteristic.

Abstract: A material transfer operation system includes one or more processors and memory storing instructions that, when executed by the one or more processors, configure the one or more processors to identify a material transfer machine material transfer route indicative of a route along which a material transfer machine is to conduct a material transfer operation; identify a material receiving machine material transfer route indicative of a route along which the material receiving machine is to conduct the material transfer operation; identify a material transfer machine slope value; identify a material receiving machine slope value; generate an adjustment based on the identified material transfer machine slope value and the material receiving machine slope value; and control one or more of the material transfer machine and the material receiving machine based on the adjustment.

Abstract: A computer implemented method includes receiving a map that maps values of a crop characteristic to different locations across a field; receiving harvester route data indicative of a planned route of a harvester at the field; identifying a crop characteristic threshold; identifying a material transfer end location indicative of a location, along the planned route of the harvester, at which a material transfer operation between the harvester and a receiving machine is to end, based on the map, the planned route of the harvester, and the crop characteristic threshold; identifying a material transfer start location range indicative of a geographic area, along the planned route of the harvester, at which the material transfer operation is to start based on the material transfer end location; and generating a route for the receiving machine to travel based on the material transfer end location and the material transfer start location range.

Abstract: A predictive map is obtained by an agricultural material application system. The predictive map maps predictive weed values at different geographic locations in a field. A geographic position sensor detects a geographic locations of an agricultural material application machine at the field. A control system generates a control signal to control the agricultural material application machine based on the geographic locations of the agricultural material application machine and the predictive map.

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 crop constituent value is sensed by a crop constituent sensor on an agricultural machine. The crop constituent value is distributed among subregions covered by the agricultural machine. A vegetative index-estimated crop constituent value is obtained for each of the subregions. A weighted crop constituent value is generated for each subregion based upon the distributed constituent value for each subregion and the vegetative index-estimated constituent value for that subregion. An action signal is generated based upon the weighted crop constituent value for the subregion.

Abstract: An agricultural operation evaluation system for an agricultural work vehicle includes an offboard device configured to collect offboard feedback associated with the agricultural operation and location information; and a controller. The controller is configured to receive the offboard feedback and the location information for the offboard feedback from the offboard device; determine at least one offboard input parameter from the offboard feedback; receive machine data including at least one onboard input parameter and location information for the least one onboard input parameter; correlate the at least one offboard input parameter and the at least one onboard input parameter based on the location information for the at least one offboard input parameter and the location information for the at least one onboard input parameter; and determine one or more vehicle adjustments based on the correlated at least one offboard input parameter and at least one onboard input parameter.

Abstract: A sensor senses wind direction and generates a sensor signal. A wind processor processes the sensor signal to identify a wind direction at a location of an agricultural harvester. An action signal is generated to control the agricultural harvester to avoid discharging residue from the agricultural harvester into unharvested crop, based upon the wind direction.

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 material consumption values as a mobile material application machine operates at the worksite. A predictive map generator generates a predictive map that maps predictive material consumption values at different geographic locations in the worksite based on a relationship between values of the characteristic in the information map and material consumption values detected by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: An information map is obtained by an agricultural system. The information map maps values of a characteristic to different geographic locations in a field. An in-situ sensor detects machine setting values as a mobile machine moves through the field. A predictive map generator generates a predictive map that predicts the machine setting at different locations in the field based on a relationship between the values of the characteristic and the machine setting values detected by the in-situ sensor. The predictive map can be output and used in automated machine control.

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 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 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: 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: 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.