A fault database includes a fault identifier, a signature or pattern that indicates the presence of the fault, and a set of mitigation control steps. The fault database is intermittently updated and downloaded to an agricultural machine. A fault identification system on the agricultural machine scans data logs that are generated by a log generation system on the agricultural machine and compares information in the data logs to the signature or pattern in the fault database to determine whether any of the faults in the fault database are present on the agricultural machine. If a fault in the fault database is present, a mitigation control step is identified to mitigate the fault, and a control signal is generated on the agricultural machine to implement the mitigation control step.

To provide an automatic driving method, a work vehicle, and an automatic driving system, by which it is possible to perform automatic travel with improved operability. A combine is a work vehicle executing an automatic travel, based on a preset travel route, and includes a steering wheel being a turn operation tool that accepts a turn operation to instruct turning of the combine, a control device that functions as an automatic travel control unit that controls the automatic travel of the combine, based on a travel route, and an override button being a turn operation permission unit that permits a turn operation on the steering wheel during execution of the automatic travel. The travel unit does not accept the turn operation under a normal circumstance during execution of the automatic travel but once the override button is operated, accepts the turn operation.

In one embodiment, a vehicle system includes a chassis and a vehicle bed coupled to the chassis, the vehicle bed comprising an attachment system configured to fasten a detachable mission platform onto the vehicle bed. The vehicle system further includes a plurality of wheels coupled to the chassis and configured to carry the chassis over a ground. The vehicle system additionally includes a control system comprising a processor configured to determine a mission type for the detachable mission platform. The processor is additionally configured to communicate with the detachable mission platform to actuate at least one actuator of the detachable mission platform based on the mission type.

An agricultural work system for optimizing agricultural work flows has at least one agricultural work unit and a plurality of functional units, each having a control device for controlling the respective functional unit based on a stored set of rules. The agricultural work system has a central pattern recognition system which stores at least one agricultural work situation as a situation pattern. Work situation-specific information is transferrable to the pattern recognition system which identifies a stored work situation and the associated situation pattern based on the obtained information and transmits meta-information (M) characterizing the identified work situation to the functional units. The pattern recognition system and/or the control devices coordinate the cooperation of those functional units which work together in the identified work situation based on the meta-information so that the control devices carry out corresponding parameter adjustments of the associated functional unit.

Described herein are techniques for generating contextually rich plant images. A number of data captures of raw plant data are generated via a sensing unit configured to navigate a growing facility. Metadata is generated and assigned to the raw plant data including at least one of: plant location, timestamp, plant identification, plant strain, facility identification, facility location, facility type, health risk factors, plant conditions, and human observations. Images generated by the sensing unit are analyzed and pixel annotations are generated in the images based on their relation to one or more plant well-being features. Data tags are generated and assigned the data captures based on an analysis of the data captures. The data tags are text phrases linking a particular data capture to a specific threat to plant well-being.

In accordance with an example embodiment, a method for directing a work machine to one or more worksites from a selection of candidate worksites is disclosed. The method includes receiving obscurant data related to a forecast availability of obscurants at one or more worksites; receiving environmental data related to the suppression, creation, transportation, or direction of obscurants; and receiving operational data related to machine components and the ability of the machine components to generate obscurants or have performance degraded by obscurants at the one or more worksites. Determining an obscurant metric for each of the one or more worksites based on the obscurant data, the environmental data, and the operational data; and directing the work machine to the one or more worksites based on the obscurant metric.

An automatic guidance system is adapted to be mounted on a work vehicle such as a farm tractor for assisting an operator steer the vehicle on a desired track relative to a furrow. The system includes sensors for transmitting and receiving ultrasonic ranging signals. The sensors are ultrasound transducers mountable on ends of a planter drawn by the vehicle for directing ranging signals downwardly toward field adjacent of a furrow such that the ranging signals strike the field or furrow and are reflected back into the respective sensor. Guidance logic stored in a memory of a controller is executed by a processor to determine tractor headway direction and headland turning directions representative of desired tractor headway and headland turning directions, and a human interface device generates guidance images viewable by an operator for steering the tractor relative to furrows in the field and in the headland.

Disclosed are an indoor navigating system and an indoor navigating method based on vision. The indoor navigating method comprises capturing a material channel image; segmenting the material channel image to obtain a material pushing machine and a walkable area from the material channel image, and determining boundaries of the material pushing machine and boundaries of the walkable area; obtaining a distance between a left boundary of the material pushing machine and a left rail of a material channel and/or a distance between a right boundary of the material pushing machine and a right rail of the material channel; obtaining a lateral deviation distance of the material pushing machine, and determining a course angle; and adjust an actual moving direction of the material pushing machine according to the course angle.

Disclosed is an automatic row-guiding method for maize combine harvester based on the situation of missing plants, comprising: S1, guiding calculation of missing plants according to a traveling speed of a harvester and output values of left and right detecting sensors; and S2, performing guiding calculation of missing plants if there is a situation of missing plant, obtaining a first target turning angle of an electric steering wheel; or obtaining a second target turning angle according to the output values of the left and right detecting sensors if there is no situation of missing plant, then adjusting the steering wheel in terms of controlling direction, and finally, realizing automatic row-guiding of the combine harvester.

A method of controlling a mobile agricultural machine that includes detecting a target value setting input identifying a target metric value for a quality metric representing a performance characteristic of the mobile agricultural machine and having an inverse relationship to machine speed, receiving machine data indicative of operating parameters on the mobile agricultural machine, generating, based on the machine data, a current metric value for the quality metric, determining a target machine speed based on the current metric value relative to the target metric value, and outputting a control instruction that controls the mobile agricultural machine based on the target machine speed.