Abstract: A method for mapping sugarcane crop yield, the method comprising: receiving signals during a harvesting operation from a yield sensor, which senses a yield characteristic of a harvested sugarcane crop, and a processing sensor, which senses a processing characteristic of the sugarcane crop and is associated with the sugarcane harvester; determining a measured sugarcane crop yield using the received signals; determining a calibrated sugarcane crop yield using at least the measured sugarcane crop yield; and generating a sugarcane crop yield map with the calibrated sugarcane crop yield and a georeferenced location of the sugarcane crop yield associated with the location of the sugarcane harvester during the harvest.

Abstract: A method for mapping an agricultural crop in a field is provided. The method comprising receiving signals, with a control unit on an agricultural machine, from a yield sensor, which senses a yield characteristic of the crop, and a processing sensor, which senses a processing characteristic of the crop, associated with an agricultural work machine; determining the presence of a void crop plant using the received signals; determining a location of the void crop plant using at least a time and a location of the agricultural work machine; and generating a void crop map showing the location of the void crop within the field.

Abstract: A method performed by a harvesting machine control system comprises obtaining bias data indicative of a performance bias of a first harvesting machine relative to at least one other harvesting machine, receiving a settings input indicative of a request to set performance of the first harvesting machine to correspond to performance of the at least one other harvesting machine, based on the bias data and machine settings associated with the performance of the at least one other harvesting machine, determining adjusted machine settings for the first harvesting machine, and outputting a control instruction to the first harvesting machine based on the adjusted machine settings.

Abstract: A method performed by a control system for a work machine includes receiving machine data indicative of operating parameters on the work machine, receiving a set of performance scores indicative of relative machine performance in a set of different performance categories, each performance score being generated by a different performance score generator based on sensor data associated with the work machine, accessing a set of rules that each map one or more triggering conditions to a corresponding adjustment action on the work machine, identifying a set of potential adjustment actions by evaluating fulfillment of the set of rules based on the operating parameters and performance scores, and correlating each potential adjustment action to one or more of the performance categories, selecting a particular adjustment action, from the set of potential adjustment actions, based on an indication of a selected target performance category, and outputting a control instruction based on the particular adjustment action.

Abstract: In one example, a position of landscape modifiers within a worksite is determined and a position output indicative of the position of the landscape modifiers is generated. Based on the position output, different types of worksite areas within the worksite are identified and an area identifier output indicative of the types of worksite areas is generated, as is a location of the worksite areas within the worksite. The worksite areas are prioritized based on the type. A route is generated for an unmanned aerial vehicle (UAV) based on the prioritized worksite areas. Control signals are provided to the UAV based on the route. In another example, a user input mechanism on a user interface is configured to receive a user input indicative of field data for a worksite and at least one vehicle control variable for controlling an unmanned aerial vehicle (UAV) to carry out a worksite mission within the worksite.

Abstract: A performance dimension is selected, and a gap in machine performance, according to the selected dimension, is identified. A target value is identified to improve machine control according to the selected dimension. A dependent dimension, which depends on the selected dimension, is selected and a dependency indicator, that indicates a dependency of the dependent dimension on the selected dimension, is accessed to identify a value of the dependent dimension that will change if the machine is controlled so that the value of the selected dimension is moved from a current value to the target value. The change in value of the selected dimension, and the dependent dimension are aggregated to determine whether machine control should be modified so the value of the selected dimension moves toward the target value. If so, a corresponding control operation is identified, and control signals are generated to control the machine to perform the identified control operation.

Abstract: A method performed by a harvesting machine control system comprises obtaining bias data indicative of a performance bias of a first harvesting machine relative to at least one other harvesting machine, receiving a settings input indicative of a request to set performance of the first harvesting machine to correspond to performance of the at least one other harvesting machine, based on the bias data and machine settings associated with the performance of the at least one other harvesting machine, determining adjusted machine settings for the first harvesting machine, and outputting a control instruction to the first harvesting machine based on the adjusted machine settings.

Abstract: A display controller controls a display device in a harvester to display an interface showing adjustments to combine harvester settings, received from a remote computing system, along with an adjustment actuator. A settings adjustment is made based on user actuation of the adjustment actuator input is received through the settings adjustment actuator on the displayed interface. A verification notification is sent to the remote computing system, showing the adjusted settings on the combine.

Abstract: Machine-generated data is divided into its metadata (or contextual data) that is indicative of a data container, and the data values themselves that are indicative of sensed variables. The metadata is checked to obtain a container integrity indicator of whether the data is accurate based on characteristics of the data container. The actual data values are subjected to quality checking to determine whether they have been corrupted by inaccuracies. Data corresponding to inaccurate metadata or inaccurate data values themselves is quarantined, and correction logic attempts to correct any inaccurate data. Corrected data is output with the verified data.

Abstract: A detector detects yield data corresponding to a plurality of different harvesters. Detectors can also detect harvest performance data and logistics performance data for those harvesters. A control signal generator generates control signals to control the harvesters to maintain a target harvest rate, for the crop harvested by the plurality of harvesters, collectively.

Abstract: A method performed by a harvesting machine control system comprises obtaining bias data indicative of a performance bias of a first harvesting machine relative to at least one other harvesting machine, receiving a settings input indicative of a request to set performance of the first harvesting machine to correspond to performance of the at least one other harvesting machine, based on the bias data and machine settings associated with the performance of the at least one other harvesting machine, determining adjusted machine settings for the first harvesting machine, and outputting a control instruction to the first harvesting machine based on the adjusted machine settings.

Abstract: A method performed by a control system for a work machine includes receiving machine data indicative of operating parameters on the work machine, receiving a set of performance scores indicative of relative machine performance in a set of different performance categories, each performance score being generated by a different performance score generator based on sensor data associated with the work machine, accessing a set of rules that each map one or more triggering conditions to a corresponding adjustment action on the work machine, identifying a set of potential adjustment actions by evaluating fulfillment of the set of rules based on the operating parameters and performance scores, and correlating each potential adjustment action to one or more of the performance categories, selecting a particular adjustment action, from the set of potential adjustment actions, based on an indication of a selected target performance category, and outputting a control instruction based on the particular adjustment action.

Abstract: Performance information indicative of operator performance of a mobile machine is detected. Context criteria are identified based on a sensed context of the mobile machine. As set of performance data is parsed to identify reference data, based on the context criteria. A performance opportunity space is identified, by comparing the detected performance information to the reference data. A user interface component is controlled to surface the performance opportunity space for interaction.

Abstract: A user device, that is remote from a combine harvester, communicates with a remote system to receive performance metrics corresponding to sensed operation of a plurality of different combine harvesters. A performance display element, for each machine, and for each of a plurality of different performance criteria, is generated. Display control logic controls a display device so the performance display elements are displayed with display elements corresponding to a same performance criteria, but for different combine harvesters, being displayed adjacent one another, on the display device. The display control logic also controls the display device so the performance machine display elements for the plurality of different combine harvesters are also displayed along with a performance distribution display element that represents a performance distribution of a plurality of different machines.

Abstract: Dynamic change information is detected on a vehicle, that is transporting a load receiving structure. The dynamic operational information is monitored to identify a period of dynamic change in the operation of the vehicle. The period of dynamic change is used to define a sampling window. The dynamic operational information, during the sampling window, is provided to fill level classifier logic that identifies a fill level corresponding to the dynamic operational information. A fill level metric, indicative of the identified fill level, is generated, and an action signal is generated based upon the fill level metric.

Abstract: Sensor data, and the sensors themselves are calibrated, in near real time. Sensor data from multiple mobile machines is received on a mobile machine and used to calibrate sensor data on the mobile machine.

Abstract: A set of data is received. The data is indicative of sensed parameters on a mobile machine. The data is evaluated against a set of actionable conditions to determine the degree of fulfillment of each condition. A recommendation for changing the operation of the mobile machine is identified based on the degree of fulfillment. An output is generated based on the recommendation.

Abstract: A system for deriving the operating state of a machine comprises one or more sensors for making available in each case an output value relating to a current parameter of a component of the machine, and a processing unit which is connected to the sensors and is programmed to derive information about the operating state of machine using a model and on the basis of the measured values of the sensors and/or values derived therefrom. The processing unit can be supplied with a state transition matrix, elements of an emission probability matrix for the probability that an observation is conditioned by a certain state, and a vector for describing an input state, in order to derive the operating states of the machine therefrom. The processing unit is programmed to derive elements of the emission probability matrix from the measured values of the sensors.

Abstract: Mobile machine characteristics and position are sensed to obtain an indication of the compactive effect of a mobile machine on a worksite. A soil compaction stress map is generated and control signals are generated, for controlling controlled systems, based upon the soil compaction stress map.

Abstract: A logic system aggregates metrics from a plurality of combine harvesters and controls a communication system to send aggregated metrics back to the combine harvesters and to send both machine performance metrics and aggregate metrics to a remote user computing system, for remote user control.