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: 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 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: 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: 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: 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: 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 maps are obtained by an agricultural work machine. The one or more 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 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: 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: 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 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: An agricultural harvesting system includes a control system that is configured to obtain a map that maps values of a speed characteristic of an agricultural harvester to different geographic locations in a worksite. The control system is further configured to generate a control signal to control a receiving machine based on the map.

Abstract: An agricultural harvesting system obtains a yield map that maps yield values to different geographic locations in a worksite and a speed map that maps agricultural harvester speed values to different geographic locations in the worksite. The agricultural harvesting system identifies a geographic location in the worksite at which the agricultural harvester will be full, at least to a threshold level, based on the yield map; identifies a geographic location in the worksite at which a material transfer operation is to start based on the geographic location at which the agricultural harvester will be full, at least to the threshold level; and identifies a time at which the agricultural harvester will arrive at the material transfer location, based on the speed map. The agricultural harvesting system can control one or more of the agricultural harvester and a receiving machine.

Abstract: An agricultural harvesting system includes a harvesting logistics module that is configured to receive a map that maps values of a crop characteristic to different geographic locations in a field. The harvesting logistics module further configured to identify a crop characteristic threshold and to identify a mixture of crop material based on the map and based on the crop characteristic threshold. The harvesting logistics module configured to generate a route for a mobile machine, such as a receiving machine or a harvester, based on the identified mixture.

Abstract: One or more maps are obtained by an agricultural system. The one or more maps map characteristic values at different geographic locations in a worksite. The agricultural system identifies one or more operational constraints. The agricultural system generates a control output to control operation of a mobile machine operating in an agricultural harvesting operation based on the one or more operational constraints.

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: 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.