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.

A harvesting machine includes a harvesting part provided forward of a machine body, and harvests crops in a farm field; and a plurality of crop sensors provided in the harvesting part at intervals in a left-right direction, and detect the presence of crops upon coming into contact with the crops. The harvesting machine may also include a harvesting width detector that detects a harvesting width corresponding to crops harvested through harvesting work that has actually been performed, included in a workable width within which harvesting work can be performed by the harvesting part; and a travel transmission unit that changes the travel speed of the machine body. The harvesting machine may also include a speed controller that shifts the travel transmission unit to a lower speed as the harvesting width increases, and shifts the travel transmission unit to a higher speed as the harvesting width decreases.

A work machine for harvesting crop includes a controller and an engine. The controller is configured to command operation of the engine in accordance with various power curves based on sensed factors associated with the harvested crop. The work machine stores the harvested crop in a tank to be unloaded by an unloading auger which is powered by the engine. Prior to activation of the unloading auger, the controller commands the engine to operate in accordance with a power curve associated with a reduced power level to reserve power for operation of the unloading auger.

An agricultural work machine has a crop collection arrangement for separating and collecting crops from field vegetation, which crop collection arrangement has at least one crop cutting device, a crop conveying device arranged downstream thereof and a crop intake device arranged downstream thereof, and having a control device which has at least one sensor unit for optically detecting a crop flow, an image processing unit for processing images which are generated by the sensor unit based on the optically detected crop flow, and a data output unit for displaying the images processed by the image processing unit. The image processing unit generates a velocity characteristic map and a directional change characteristic map based on the images generated by the sensor unit. The two characteristic maps are utilized jointly or each individually by the control device to control processes in the agricultural work machine and/or in the crop collection arrangement.

A harvest header for a harvesting machine includes a carrying frame, a mechanism for receiving or cutting harvest material from a field, a control device, a power-operated actuator operably controlled by the control device, and a transverse conveyor screw movably controlled between two or more positions. The position of the transverse conveyor screw is adjustably controlled by the actuator in order to transport the harvest material to a discharge opening. The control device independently controls the actuator based on at least one harvest material property.

Systems and methods are disclosed herein for optimizing harvester yield. In an embodiment, a controller receives a pre-harvest image from a front-facing camera of a harvester. The controller inputs the pre-harvest image into a model, and receives as output from the model a predicted harvest yield. The controller receives, from an interior camera of the harvester, a post-harvest image including the plants as harvested. The controller inputs the post-harvest image into a second model and receives, as output, an actual harvest yield of the plants as-harvested. The controller determines that the predicted harvest yield does not match the actual harvest yield, and outputs a control signal.

Systems and methods for performing an engine regeneration procedure in a work machine with an internal combustion engine are described. An electronic controller determines, based on information associated with one or more machine sensors and/or machine actuators, whether the work machine is in an idle state (e.g., a storage or non-harvesting state). In response to determining that the work machine is in the idle state, the electronic controller displays a user approval prompt on the display of an operator interface and performs the engine regeneration procedure in response to receiving a user input approving the engine regeneration procedure after displaying the user approval prompt. Conversely, in response to determining that the work machine is not in the idle state, the electronic controller performs the engine regeneration procedure without displaying the user approval prompt and without receiving any user input approving the engine regeneration procedure.

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.

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.

Systems and methods for geospatial yield mapping by managing and modeling a system-based delay between crop location and crop sensing. The system stores a plurality of yield rate values indicative of crop yield detected by a sensor and a plurality of geospatial location values as time sequence data sets. The system then maps a yield rate value to a geospatial location value by determining an offset indicative of a total delay time from when the crop is cut from the field to when the crop is detected by the yield sensor. In some implementations, the delay value is determined as an integer multiple of a defined sampling frequency and is determined as a sum of a plurality of delay component values each indicative of a portion of the total delay time associated with a different one of a plurality of component systems of the crop harvester.