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.

An agricultural system automatically detects a turn pattern and automatically identifies a next path that will be taken through the field. The agricultural system automatically controls the machine through the next turn that navigates the machine from a current path to the identified next path. This continues until a land size has been completed at which point the agricultural system identifies a next land in a field.

Methods, apparatus, systems, and articles of manufacture to select track paths for one or more vehicles in a field are disclosed. An example apparatus includes input interface circuitry to obtain a request for a first track path for a first vehicle, path instruction generation circuitry to, in response to the request, obtain information defining a plurality of track paths in a field, and select, based on the request, the first track path from the plurality of track paths, and update circuitry to update the information to indicate that the first track path is claimed by the first vehicle.

An agricultural harvesting machine includes a harvested crop repository having a fill capacity, a crop processing system configured to engage crop in a field, perform a crop processing operation on the crop, and move the processed crop to the harvested crop repository, a fill level sensor configured to generate a fill level signal indicative of a current fill level of the harvested crop repository, and a control system configured to obtain a machine path definition that represents a machine path for the agricultural harvesting machine, wherein the machine path definition defines a turn pattern and a land size of a land in the field, identify a rendezvous point in the field for the agricultural harvesting machine and a haulage vehicle based on the machine path definition, and generate a control signal based on the rendezvous point.

Methods, apparatus, and articles of manufacture to generate a turn path for a vehicle are disclosed. An example apparatus disclosed herein includes input interface circuitry to obtain a guidance path for a vehicle, turn identification circuitry to identify a turn in the guidance path, and turn pattern selection circuitry to select, from a plurality of predetermined turn patterns, a turn pattern for the turn, wherein the turn pattern satisfies a condition.

Described herein are technologies that use LIDAR and computer vision to detect locations of receiving vehicles grouped together relative to a forage harvester and detect fill levels of crop material within each receiving vehicle and path and landing position of material expelled from the harvester into a bin of a receiving vehicle of the group. Such information is used as feedback for operating the harvester or one or more self-propelled vehicles moving the receiving vehicles. Some embodiments detect ground level in front of the harvester or the receiving vehicles and use such information as feedback. Some embodiments include a link to communicate the feedback to a GUI for user visualization of the feedback and semi-automated operations. For example, readings from LIDAR and a camera of the harvester detect a position and a crop material fill level for each receiving vehicle in the group, and the GUI outputs the information.

Described herein are technologies that use LIDAR and computer vision to detect a location of a receiving vehicle relative to a forage harvester, fill levels of crop material within the receiving vehicle, and path and landing position of material expelled from the forage harvester and received by a bin of the receiving vehicle. The technologies use such information as feedback for operating the harvester or the receiving vehicle. Some embodiments detect ground level in front of the harvester or the receiving vehicle, and such information is used as feedback too. Some embodiments include a link to communicate the feedback to a GUI for user visualization of the feedback and semi-automated operations of the harvester or the receiving vehicle. For example, readings from LIDAR and a camera of the harvester detect a topography of the material deposited in the bin of the receiving vehicle, and a GUI outputs the topography.

A work machine receives a thematic map that maps values of a variable to different geographic locations at a worksite. Control zones are dynamically identified on the thematic map and actuator settings are dynamically identified for each control zone. A position of the work machine is sensed, and actuators on the work machine are controlled based upon the control zones that the work machine is in, or is entering, and based upon the settings corresponding to the control zone. These control zones and settings are dynamically adjusted based on in situ (field) data collected by sensors on the work machine.

A system and method for automatic row alignment driving by a harvester when harvesting above-ground crops includes an elastic row sensing module, a processing module, a controlling module, and a steering module. The elastic row sensing module is disposed on a front grain thresher/grain isolator of the harvester, collecting data as to physical contact with the crop. The elastic row sensing module includes a deformable elastomer in contact with the high stem crop, the sensor detects and reports deformation of the elastomer. The processing module determines current alignment state of the harvester and the controlling module determines any corrective steering signal for the harvester. The steering module controls steering direction.

An agricultural harvesting machine includes a harvested crop repository and a crop processing system configured to engage crop in a field, perform a crop processing operation on the crop, and move the processed crop to the harvested crop repository, the crop processing system including a transfer mechanism configured to transfer the processed crop to a support machine. The agricultural harvesting machine includes a control system configured to identify a turn to be performed by the agricultural harvesting machine in the field, determine a harvesting machine turn path for the agricultural harvesting machine to perform the turn on the field, generate a support machine turn path based on the harvesting machine turn path, and communicate an indication of the support machine turn path to a communication device associated with the support machine.