A travel route determination system including: a route generating unit generating planned travel routes including work routes along which a work vehicle performs autonomous travel; a control unit capable of causing the work vehicle to perform autonomous travel along the planned travel routes; an information obtaining unit obtaining position information and orientation information on the work vehicle; and a determination unit determining an autonomous travel candidate route at which the work vehicle can start autonomous travel, before the work vehicle starts autonomous travel. The determination unit sets a candidate determination region based on the position information and orientation information on the work vehicle, and the determination unit determines, among the work routes, a work route in the candidate determination region as the autonomous travel candidate route.

A method for the operation of a self-propelled agricultural working machine has at least one working element and a driver assistance system for generating control actions within the working machine. A sensor arrangement for generating surroundings information is provided, and the driver assistance system generates the control actions based on the surroundings information. The sensor arrangement comprises a camera-based sensor system and a laser-based sensor system, each of which generates sensor information regarding a predetermined, relevant surroundings area of the working machine. The sensor information of the camera-based sensor system is present as starting camera images. The starting camera images are segmented into image segments by an image processing system according to a segmentation rule, and the segmented camera images are combined by a sensor fusion module with the sensor information from the laser-based sensor system.

In accordance with an example embodiment, a system and method for obscurant mitigation is disclosed. The system comprises an obscurant assessor configured to characterize one or more characteristics of a detected obscurant and generate an obscurant model; an obscurant mitigator configured to perform one or more mitigation operations; and a controller communicatively coupled to each of the obscurant assessor and the obscurant mitigator. The controller is configured to receive an output signal from a vehicle sensor corresponding to a detected obscurant level and determine if the detected obscurant level exceeds a predetermined threshold. The controller generates an obscurant mitigation plan if the detected obscurant level exceeds the predetermined threshold based on the obscurant model generated by the obscurant assessor; and controls operations of an obscurant mitigator based on the obscurant mitigation plan to reduce the detected obscurant level.

A method for controlling an agricultural vehicle includes receiving, via a processor, a first signal from a user interface indicative of a value of at least one parameter. The method also includes determining, via the processor, a path of the agricultural vehicle toward a guidance swath based at least in part on the at least one parameter. In addition, the method includes outputting, via the processor, a second signal to a display of the user interface indicative of instructions to present a graphical representation of the path of the agricultural vehicle. Furthermore, the method includes controlling the agricultural vehicle, via the processor, based at least in part on the at least one parameter upon receiving at least a third signal from the user interface indicative of acceptance of the value of the at least one parameter.

A system for performing an agricultural operation on a field, the system including a host vehicle, two or more autonomous agricultural machines configured for performing the said agricultural operation; and a control subsystem for path planning and controlling the movement of each autonomous agricultural machine relative to the host vehicle in the performance of the agricultural operation. The control subsystem is configured to dynamically re-plan the movement of one or more of the autonomous agricultural machines in response to a detected failure of an autonomous agricultural machine as indicated by its position relative to its planned path.

A combine harvester includes a control device, and the control device functions as a travel route creation section which creates a travel route corresponding to a field, and as an automatic driving control section which controls automatic travel and automatic reaping along the travel route. The control device also functions as a lodging information setting section which automatically or manually sets lodging information associated with a lodging region in which grain culms are lodged in the field. The travel route creation section creates, on the basis of the lodging information, the travel route that includes reaping of the grain culms in the lodging region.

Systems and methods for monitoring plants'conditions in one or more plant growing areas are presented. The system comprises a data collection system for providing characterization data about various parameters of plants in the one or more plant growing areas, the data collection system comprising data collection modules of at least first and second different types comprising respectively one or more first type imaging devices of predetermined first field of view and first resolution and one or more second type imaging devices of predetermined second field of view narrower than the first field of view and second resolution higher than the first resolution, the characterization data provided by the first type imaging device(s) comprising first type image data indicative of one or more plants in the plant growing area and of location of at least one device of the second type imaging devices with respect to said one or more plants in the plant growing area, the characterization data provided by the second type imaging device(s) comprising second type image data indicative of one or more portions of plants in the plant growing area; and a control system for activating at least one first type imaging device and at least one second type imaging device at least partially simultaneously, and to be responsive to operational data being based on analysis of the first type image data and comprising navigation data to navigate the at least one second type imaging device or at least one device of the first type imaging devices in the plant growing area.

An agricultural machine arrangement includes at least one traction machine and at least one attachment device adapted to the traction machine with a driver assistance system optimizing the operation of the traction machine and/or of the respective attachment device. The drive assistance system includes a computing unit and at least one display unit, wherein the computing unit processes information generated by machine-internal sensor systems, external information and information storable in the computing unit. The driver assistance system is structured so that it forms an automatic traction machine adjusting unit and/or an automatic attachment device adjusting unit, wherein the respective automatic adjusting units independently of one another or as a function of one another bring about an “optimization” of the mode of operation of the traction machine and/or of the at least one attachment device.

A work screen display system including a position information obtaining unit for obtaining position information on a work vehicle based on positioning correction information supplied from a first reference station; a region shape determination unit for determining a shape of a specific region where the work vehicle performs autonomous travel, based on positioning correction information supplied from a second reference station; and a display control unit for displaying, on a display unit, a specific region indication section indicating the specific region determined by the region shape determination unit. The display control unit displays the specific region indication section in a display mode that varies between a case where the first and second reference stations are identical and a case where the first and second reference stations are not identical.

A robotic orchard spraying system having autonomous delivery vehicles (ADV), each autonomously delivering an amount of a premixed solution over a non-overlapping path verified by a forward-looking sensor, video, or both. Also, a mobile control center, configured to wirelessly inform the autonomous delivery vehicle of the path within the areas and to confirm that the autonomous delivery vehicle is following the path within the area. Additionally, a mapper vehicle generates the path within the area, the mapper vehicle being configured to communicate information about the path and the area to the command center. The mapper vehicle senses the path with a forward-looking LiDAR sensor, and senses the area with a GPS sensor. Moreover, a nurse truck has a reservoir of premixed solution for replenishing a tank of the ADV. ADVs and the control center communicate over a radio network, which may be a mesh network, a cellular network, or both.