Abstract: A device detects a trigger to dispense a product at a using a tool operably coupled to a tractor. The device determines whether the tractor is in an automated mode, the automated mode enabling autonomous speed and direction navigation of the tractor. Responsive to determining that the tractor is not in the automated mode, the device determines whether the tool is in a ready state, and responsive to determining that the tool is in the ready state, commands the tool to dispense the product, wherein the tool is not commanded to dispense the product until the tool is in the ready state. Responsive to determining that the tractor is in the automated mode, the device commands the tool to dispense the product without determining whether the tool is in the ready state.

Abstract: A computer-implemented method of controlling a mobile agricultural machine includes obtaining prior field data representing a position of plants in a field, obtaining in situ plant detection data from operation of the mobile agricultural machine in the field, determining a position error in the prior field data based on the in situ plant detection data, and generating a control signal that controls the mobile agricultural machine based on the determined position error.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for field operations based on historical field operation data. An example apparatus disclosed herein includes a field map generator to generate a field map including locations of a plurality of crop rows, the locations of the plurality of crop rows determined based on a first implement path travelled by a first implement of a first vehicle during a first operation, the first implement having a first operational width, the first implement path different from a first vehicle path of the first vehicle during the first operation, and a guidance line generator to generate a guidance line for a second vehicle during a second operation on the field, the second vehicle including a second implement to perform the second operation, the second implement having a second operational width different from the first operational width, the guidance line based on (a) the field map and (b) the second operational width.

Abstract: A device detects a trigger to dispense a product at a using a tool operably coupled to a tractor. The device determines whether the tractor is in an automated mode, the automated mode enabling autonomous speed and direction navigation of the tractor. Responsive to determining that the tractor is not in the automated mode, the device determines whether the tool is in a ready state, and responsive to determining that the tool is in the ready state, commands the tool to dispense the product, wherein the tool is not commanded to dispense the product until the tool is in the ready state. Responsive to determining that the tractor is in the automated mode, the device commands the tool to dispense the product without determining whether the tool is in the ready state.

Abstract: A digital fence of a work area is generated and loaded into a machine control system that controls an off-road machine. The machine control system detects whether the off-road machine is within a threshold distance of the digital fence and automatically controls operating parameters of the off-road machine when the off-road machine is within a threshold distance of the digital fence.

Abstract: 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.

Abstract: A digital fence of a work area is generated and loaded into a machine control system that controls an off-road machine. The machine control system detects whether the off-road machine is within a threshold distance of the digital fence and automatically controls operating parameters of the off-road machine when the off-road machine is within a threshold distance of the digital fence.

Abstract: A computer-implemented method of controlling a mobile agricultural machine includes obtaining prior field data representing a position of plants in a field, obtaining in situ plant detection data from operation of the mobile agricultural machine in the field, determining a position error in the prior field data based on the in situ plant detection data, and generating a control signal that controls the mobile agricultural machine based on the determined position error.

Abstract: A device detects a trigger to dispense a product at a using a tool operably coupled to a tractor. The device determines whether the tractor is in an automated mode, the automated mode enabling autonomous speed and direction navigation of the tractor. Responsive to determining that the tractor is not in the automated mode, the device determines whether the tool is in a ready state, and responsive to determining that the tool is in the ready state, commands the tool to dispense the product, wherein the tool is not commanded to dispense the product until the tool is in the ready state. Responsive to determining that the tractor is in the automated mode, the device commands the tool to dispense the product without determining whether the tool is in the ready state.

Abstract: A system and a method are disclosed for determining a heading of a vehicle and a heading of an implement of a farming machine when the farming machine is stationary or moving at a speed below a threshold speed. The vehicle and the heading are attached together via a pivot hitch. A farming machine management system receives coordinates from a first location sensor coupled to the vehicle and a second location sensor coupled to the implement. The farming machine management system determines intersection points between a first circle centered at the first location sensor and a second circle centered at the second location sensor. The farming machine management system selects one of the intersection points based on an output of a machine learning model. The farming machine management system determines the headings of the vehicle and the implement and generates instructions for operating the farming machine based on the headings.

Abstract: An implement management system detects implement wear and monitors implement states to modify operating modes of a vehicle. The system can determine implement wear using the pull of the implement on the vehicle, the force and angle of which is represented by an orientation vector. The system may measure a current orientation vector and determine an expected orientation vector using sensors and a model (e.g., a machine learned model). Additionally, the implement management system can determine an implement state based on images of the soil and the implement captured by a camera onboard the vehicle during operation. The system may apply different models to the images to determine a likely state of the implement. The difference between the expected and current orientation vectors or the determined implement state may be used to determine whether and how the vehicle's operating mode should be modified.

Abstract: An implement management system detects implement wear and monitors implement states to modify operating modes of a vehicle. The system can determine implement wear using the pull of the implement on the vehicle, the force and angle of which is represented by an orientation vector. The system may measure a current orientation vector and determine an expected orientation vector using sensors and a model (e.g., a machine learned model). Additionally, the implement management system can determine an implement state based on images of the soil and the implement captured by a camera onboard the vehicle during operation. The system may apply different models to the images to determine a likely state of the implement. The difference between the expected and current orientation vectors or the determined implement state may be used to determine whether and how the vehicle's operating mode should be modified.

Abstract: A computer-implemented method of operating an agricultural work machine is provided. The method includes initiating row sensing guidance for the agricultural work machine to guide steering of the agricultural work machine based at least one signal from a row sensor; obtaining contextual information; determining whether a row is present based on the contextual information; and selectively ignoring the at least one signal from the row sensor based on whether a row is present. An agricultural work machine and a control system for an agricultural work machine are also provided.

Abstract: A mobile device includes a processor and memory, coupled to the processor, which memory contains instructions that when executed cause the processor to provide an autonomy management application. The autonomy management application includes an autonomy approval function. The autonomy approval function provides a user interface configured to display at least one aspect of an autonomy job to a user and receive user acceptance of the autonomy job. The autonomy approval function is configured to instruct the user to move within a pre-determined distance from an autonomous work machine that will execute the autonomy job and provide a machine-verified indication of user proximity within the pre-determined distance.

Abstract: A control system for an autonomous work machine includes a robotic controller, a position detection system coupled to the robotic controller, and a sensor coupled to the robotic controller and configured to provide a sensor signal. A controlled system is coupled to the robotic controller to receive control signals from the robotic controller. The robotic controller is configured to generate an event relative to an object in an environment around the autonomous work machine or a machine health/job quality issue, document the event, and store the documented event. The robotic controller is further configured to selectively generate a communication containing at least some information relative to the documented event to a supervisor and to receive user input from the supervisor and take responsive action based on the user input.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for field operations based on historical field operation data. An example apparatus disclosed herein includes a field map generator to generate a field map including locations of a plurality of crop rows, the locations of the plurality of crop rows determined based on a first implement path travelled by a first implement of a first vehicle during a first operation, the first implement having a first operational width, the first implement path different from a first vehicle path of the first vehicle during the first operation, and a guidance line generator to generate a guidance line for a second vehicle during a second operation on the field, the second vehicle including a second implement to perform the second operation, the second implement having a second operational width different from the first operational width, the guidance line based on (a) the field map and (b) the second operational width.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to automate multi-point inertial sensor calibration. Example apparatus disclosed herein includes a calibration path determiner to determine a calibration path for a machine to follow during calibration of the inertial sensors, the calibration path including a first point of a calibration measurement path, a second point of the calibration measurement path. The example apparatus disclosed herein includes an automated steerer to control steering of the machine on the calibration path during the calibration of the inertial sensors. The example apparatus disclosed herein includes a data recorder to record pitch and roll measurements from the inertial sensors as the machine follows the calibration path between the first point of the calibration measurement path and the second point of the calibration measurement path.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for field operations based on historical field operation data. An example apparatus disclosed herein includes a guidance line generator to generate a guidance line for operation of a vehicle during a second operation on a field, the guidance line based on (1) a field map generated from location data collected during a first operation in the field, the field map including a plurality of crop rows and (2) an implement of the vehicle, the implement to perform the second operation on the field. The example apparatus further includes a drive commander to cause the vehicle to traverse the field along the guidance line, and an implement commander to cause the implement to perform the second operation as the vehicle traverses the field along the guidance line.

Abstract: An agricultural vehicle comprises a left frame and a right frame. A left wheel is rotatable with respect to the left frame and a right wheel is rotatable with respect to the right frame. A first leg extends upward from the left frame and a second leg extends upward from the right frame to connect the legs to the beam. A data processor estimates a reference point on or below the vehicle and an angular orientation or attitude of the beam relative to the reference point based on positions of location-determining receivers associated with the beam. An upper carriage is laterally movable along the beam. A lower carriage is suspended from the upper carriage by a plurality of vertical supports, such that a target lateral position of the upper carriage establishes an actual lateral position of the lower carriage.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for field operations based on historical field operation data. An example apparatus disclosed herein includes a guidance line generator to generate a guidance line for operation of a vehicle during a second operation on a field, the guidance line based on (1) a field map generated from location data collected during a first operation in the field, the field map including a plurality of crop rows and (2) an implement of the vehicle, the implement to perform the second operation on the field. The example apparatus further includes a drive commander to cause the vehicle to traverse the field along the guidance line, and an implement commander to cause the implement to perform the second operation as the vehicle traverses the field along the guidance line.