In one aspect, a system for controlling ground-engaging tools of an agricultural implement may include first and second ground-engaging tools configured to perform first and second operations, respectively, on a field as the agricultural implement is moved across the field. Furthermore, a controller of the disclosed system may be configured to determine a first value of a field characteristic based on the received sensor data and adjust an operating parameter of the first ground-engaging tool based on the determined first value. After adjusting the operating parameter of the first ground-engaging tool, the controller may be configured to determine a second value of the field characteristic based on the sensor data and adjust an operating parameter of the second ground-engaging tool based on the determined second value.

A harvester monitoring system configured to determine one or more parameters associated with harvested items, the system comprising: a camera module having a field of view and configured to generate image data associated with the harvested items; a mounting bracket configured to secure the camera module to a harvester such that a conveyor of the harvester is within the field of view of the camera module; a location sub-system configured to determine and output location data representative of a geographical location of the harvester monitoring system; and a processing unit configured to receive the image data and the location data, to determine one or more parameters associated with the harvested items, and to record the one or more parameters in association with the location data on a computer readable medium.

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.

A work vehicle includes a first detection unit that detects an optical beam emitted from a beam projector disposed at one end of a reference travel path, a first position deviation calculation section that calculates position deviation by a vehicle body from the reference travel path based on a detection signal from the first detection unit, a second detection unit that detects a work boundary line that occurs due to work travel, a second position deviation calculation section that calculates position deviation of the vehicle body traveling along successive travel paths from the work boundary line based on a detection signal from the second detection unit, and a steering information generation section that, based on the position deviation calculated by the first position deviation calculation section and the second position deviation calculation section, generates steering information for correcting the position deviation.

Technologies for guiding an agricultural vehicle through crop rows using a camera and signal processing to locate the crop row or centers of the crop row. The signal processing uses a filter to filter data from images captured by the camera and locates the row or the centers based on the filtered data. The filter is generated based on a signal processing transform and an initial image of the crop row captured by the camera. The filter is applied to subsequent images of the crop row captured by the camera. In some embodiments, the camera includes one lens. For example, monocular computer vision is used in some embodiments. Also, in some embodiments, a central processing unit generates the filter based on the transform and the initial image of the crop row and applies the generated filter to the subsequent images of the row.

A working vehicle includes a traveling body including a coupler to which a working device is connected, a marker provided to the working device, a marker detector provided to the traveling body to detect the marker, and a status calculator to calculate a status of the working device based on a detection data detected by the marker detector.

Disclosed herein is an apparatus for facilitating managing cultivation of crops based on monitoring the crops. Further, the apparatus comprises an apparatus body, cameras, light sensors, a processing unit, and a communication interface. Further, the cameras generate a measurement of a crop and a field portion. Further, the light sensors generate an environment measurement of an environment of the apparatus. Further, the processing unit analyzes the environment measurement, determines a factor affecting the measurement, and generates a calibrating factor for the cameras. Further, the calibrating factor facilitates compensating the affecting of the factor in the measurement. Further, the cameras calibrate a camera parameter of the cameras based on the calibrating factor to generate the measurement. Further, the processing unit analyzes the measurement and generates a status of the crop. Further, the communication interface transmits the status to a device.

In one aspect, a system for determining soil levelness as an agricultural implement is being towed across a field by a work vehicle may include a vision-based sensor configured to capture vision data associated with a portion of the field present within a field of view of the vision-based sensor. A controller of the system may be configured to receive, from the vision-based sensor, the vision data associated with the portion of the field present within the field of view of the vision-based sensor. Additionally, the controller may be configured to determine a soil levelness of the portion of the field present within the field of view of the vision-based sensor based on a spectral analysis of the received vision data.

An automated implement control system includes one or more distance sensors configured for coupling with an agricultural implement. The one or more distance sensors are configured to measure a ground distance and a canopy distance from the one or more sensors to the ground and crop canopy, respectively. An implement control module is in communication with the one or more distance sensors. The implement control module controls movement of the agricultural implement. The implement control module includes a confidence module configured to determine a ground confidence value based on the measured ground distance and a canopy confidence value based on the measured canopy distance. A target selection module of the implement control module is configured to select one of the measured ground or canopy distances as a control basis for controlling movement of the agricultural implement based on the comparison of confidence values.

A system for an agricultural sprayer includes a boom assembly operably coupled with a chassis. A steering system is operably coupled with the chassis and includes a steering sensor. The system also includes one or more imaging devices and one or more nozzle assemblies. A computing system is operably coupled with the one or more imaging devices and the one or more nozzle assemblies. The computing system is configured to receive data related to a first imaged portion of an agricultural field from the one or more imaging devices; identify a target within the first imaged portion of the agricultural field; receive data related to an inputted steering command from the steering system; and determine a target offset of the target relative to the sprayer path and a boom offset of the assembly relative to the sprayer path.