Abstract: Annotations for a map of a worksite are generated by a controller. The controller receives georeferenced crop state data and georeferenced agricultural characteristic data, collectively referred to as agronomy data. The georeferenced crop state data and georeferenced agricultural characteristic data are analyzed by the controller to determine relationships therebetween. The controller generates the annotations based on the determined relationships. The controller generates explanations, which are type of annotation, based on determined relationships between current agronomy data and historical agronomy data.

Abstract: A row unit of a corn header includes a first deck plate, a second deck plate, and a gap between the first and second deck plates. A position of one or both of the deck plates may be adjusted by a linkage assembly including at least one arm pivotably coupled, at a first end, to one or both of the deck plates and, at a second end, to an actuator. The actuator may be controlled by a controller to move one or both of the deck plates based on signals received from an ear size sensor such as a camera that measures various parameters of corn and also based on a kernel depth of the type of corn to be harvested.

Abstract: An agricultural system comprises a stalk-diameter sensing system associated with a row unit and configured to sense diameter-related data of respective stalks and generate signals based on the diameter-related data. Deck plates associated with the row unit are spaced apart to define a deck plate spacing. A deck plate positioning system is coupled to at least one of the deck plates to adjust the deck plate spacing. A control system is configured to communicate with the stalk-diameter sensing system and the deck plate positioning system. The control system is configured to receive the signals, determine a statistical representative stalk diameter for a sample of stalks based on the diameter-related data, determine a target deck plate spacing based on the statistical representative stalk diameter, and output a control signal to command the deck plate positioning system to set the deck plate spacing based on the target deck plate spacing.

Abstract: In-situ stalk diameter sensor data is obtained by an agricultural harvesting system. Predictive stalk diameter data that provides predictive stalk diameter values at different locations in a worksite is obtained by the agricultural harvesting system. The agricultural harvesting system determines a confidence level of the stalk diameter sensor data and a confidence level of the predictive stalk diameter data. The agricultural harvesting system selects one of the stalk diameter sensor data or the predictive stalk diameter data to use for control based on the confidence level of the stalk diameter sensor data and the confidence level of the predictive stalk diameter data. The selected data can be used to control a mobile agricultural harvesting machine, such as controlling one or more deck plates of the mobile agricultural harvesting machine.

Abstract: A stalk-diameter sensing system comprises a first sensor, a second sensor, a first stalk feeler, and a second stalk feeler. The first and second stalk feelers are deflectably mounted on opposite sides of a stalk-receiving gap that receives a stalk. The first and second stalk feelers are yieldably biased into the stalk-receiving gap for deflection upon contact with an outer surface of the stalk. The first sensor is coupled to the first stalk feeler to sense deflection of the first stalk feeler and generate a first signal. The second sensor is coupled to the second stalk feeler to sense deflection of the second stalk feeler and generate a second signal. Each of the first stalk feeler and the second stalk feeler comprises a first material and a second material different from the first material.

Abstract: A stalk-diameter sensing system comprises a first stalk feeler, a second stalk feeler, a first sensor, a second sensor, a first damper, and a second damper. The first and second stalk feelers are deflectably mounted on opposite sides of a stalk-receiving gap that receives a stalk. The first and second stalk feelers are yieldably biased into the stalk-receiving gap for deflection upon contact with an outer surface of the stalk. The first sensor is coupled to the first stalk feeler to sense deflection of the first stalk feeler and generate a first signal. The second sensor is coupled to the second stalk feeler to sense deflection of the second stalk feeler and generate a second signal. The first damper is positioned to dampen deflection of the first stalk feeler. The second damper is positioned to dampen deflection of the second stalk feeler.

Abstract: An agricultural header for use with an agricultural harvester includes a frame, a row unit having a row unit frame, a first body and a second body. The first body is coupled to the row unit frame and includes a first post, a second post, and a third post defining a plurality of adjustment openings. The second body is pivotally coupled to the second post and selectively coupled to the third post via one of the plurality of adjustment openings. A first contact member and a second contact member are movably coupled to the second body. A sensing unit is disposed in contact with the first and second contact members. A stalk feeler is deflectably coupled to the sensing unit and is configured to being disposed within a plane. A movement of either contact member induces movement of the stalk feeler relative to the plane.

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 perception system coupled to a harvesting head that includes row units, and slip clutches configured to couple the row units to a drive shaft and automatically disengage a jammed row unit. The perception system includes vision sensors collecting image data in front of the head, and a processor that processes the image data, and notifies the operator when it detects excessive crop buildup in front of one of the row units based on the image data. The perception processor can activate a notification device, and it can indicate which row unit has the detected crop buildup. The vision sensors can be positioned to have separate or overlapping fields of view covering the row units. A method of collecting image data in front of the row units, processing the image data to detect excessive crop buildup, and notifying the operator of detected buildups.

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 system obtains a residue map that maps residue characteristics of a field, wherein the residue map is based on data collected at or prior to a first time. The agricultural system obtains supplemental data indicative of characteristics relative to the worksite, the supplemental data collected after the first time. A residue characteristic confidence output, indicative of a confidence level in the residue characteristics indicated by the residue map, is generated based on the residue map and the supplemental data. In some examples, a mobile machine is controlled based on the residue characteristic confidence output.

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 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 vehicle connection guidance system may include a sensor and a controller. The sensor is configured to be supported by a vehicle having a first width and a connection interface, the connection interface having a second width different than the first width and along which multiple connection points lie, wherein the sensor is to output steering angle signals. The Controller is configured to output presentation signals based upon the steering angle signals The presentation signals are to generate a visual presentation of a projected path of the width of the connection interface to an operator of the vehicle.

Abstract: A predictive map is obtained by an agricultural system. The predictive map maps characteristic values at different geographic locations in a field. A geographic position sensor detects a geographic location of an agricultural harvester at the field. A control system generates a control signal to control a reel subsystem of the agricultural harvester based on the geographic location of the agricultural harvester and the predictive map.

Abstract: A harvesting assembly for harvesting a crop includes a frame, a cutting knife configured to cut crop, a feed drum, a draper assembly, a first auger assembly, and a second auger assembly. The draper assembly and the auger assemblies are configured to move the cut crop toward the feed drum. The auger assemblies each include a first auger, a second auger, and a mounting unit coupled to the frame and coupled between the first auger and the second auger to support the first auger and the second auger during rotation of the augers.

Abstract: A map is obtained by an agricultural system. The map maps values of a characteristic to different geographic locations in a field. A control system generates a control signal to control operation of one or more end dividers on an agricultural harvester based on the map.

Abstract: An agricultural system includes a head configured to be mounted to an agricultural harvester, an end divider, and an actuator configured to actuate the end divider. The agricultural system further includes an actuator controller that identifies a control action, corresponding to the end divider, to take based on an end divider action criterion detected by an input mechanism. The agricultural system also includes a control signal generation system that automatically generates a control signal to control the actuator to actuate the end divider based on the identified control action.

Abstract: Pickup belt headers may include a ramp disposed in a gap formed between a first endless belt of a pickup belt assembly and a second endless belt of a transfer belt assembly. Fingers may be provided on the first endless belt, and the fingers may be deflected, such as by pivoting or bending, in response to engagement between the fingers and the ramp to avoid contact between the fingers and the second endless belt.