A device detects a trigger to dispense a product at a dispense point using a tool operably coupled to a tractor. In response to detecting the trigger, the device determines a delay time between commanding the tool to dispense the product and the product actually being dispensed, and determines a release point based on operating parameters of the tractor, the release point being a point at which the tractor is predicted to be an amount of time away from the dispense point equal to the delay time. The device determines that the tractor has reached the release point, and commands the tool to dispense the product, where the product reaches the dispense point based on the delay time.

A method of harvesting a crop material includes gathering the crop material with a harvesting implement as the harvesting implement moves along an initial path through a field. A location and a value of a characteristic of the gathered crop material is sensed at a plurality of intervals. A set of estimated values of the characteristic throughout the field is generated based on the sensed location and characteristic of the crop material at each of interval. A value of the characteristic of the crop material ahead of the harvesting implement is predicted as the harvesting implement moves along a harvest path, based on the set of estimated values of the characteristic of the crop material throughout the field. A function of the harvesting implement may be controlled based on the predicted value of the characteristic ahead of the pick-up.

Computer systems and methods of spatially-indexing agricultural content involve inputting agricultural content comprising spatial data and spatially-indexing the agricultural are disclosed herein. In an example, the computer systems and methods involve identifying from the spatial data a set of geospatial boundaries for the agricultural content. The computer systems and methods also involve indexing the agricultural content to the identified geospatial boundaries. The computer systems and methods further involve cross-referencing the indexed agricultural data with a plurality of sets of geospatial boundaries for a plurality of fields. The computer systems and methods additionally involve indexing the agricultural content to one or more of the plurality of fields when the cross-referencing identifies an overlap between the geospatial boundaries of the indexed agricultural data and one or more of the geospatial boundaries of the plurality of fields.

An area registration system that causes a tractor to travel along the outer perimeter of an area (a field) and registers the outline of the area. The area registration system includes a position information acquisition unit, an avoidance maneuver setting unit, and an area registration unit. The position information acquisition unit obtains the position of the tractor. While the tractor is traveling along the outer perimeter of the area, the start and end of an avoidance maneuver for avoiding an obstacle is set by the avoidance maneuver setting unit during tractor travel. The area registration unit registers the outline of the area on the basis of the tractor positions obtained by the position information acquisition unit during travel by the tractor along the outer perimeter of the area, said tractor positions having removed therefrom the tractor positions obtained from the start to the end of avoidance maneuvers.

An agricultural sprayer includes a boom assembly having first and second wing boom sections. Additionally, the sprayer includes an actuator configured to adjust a fore/aft tilt angle of the boom assembly, with the fore/aft tilt angle defined between a central axis of the boom assembly and a vertical direction. Moreover, the sprayer includes a sensor configured to capture data associated with a position of the second boom section relative to the first boom section. In this respect, a computing system is configured to determine an angle defined between the first and second boom sections or a height of a tip of the second boom section based on the data captured by the sensor. In addition, the computing system is configured to control an operation of the actuator to adjust the fore/aft tilt angle of the boom assembly based on the determined angle or the determined height.

A method for treating plants in a field, in which a specific crop is planted, has the following steps: selecting a treatment tool for treating plants; capturing an image of the field, the image being correlated with positional information; determining a position of a plant to be treated in a field, using a neural network into which the captured image is fed, wherein the neural network has multiple specific classes and a general class, the crop belongs to one of the specific classes, and plants not corresponding to the crop belong to both one of the specific classes and to the general class, or at least belong to the general class; directing the treatment tool to the position of the plant; and treating the plant using the treatment tool.

The present invention relates to mobile machinery such as an agricultural tractor comprising a three-point hitch for the connection and use of working implements cultivating or excavating the earth and other duties involved in the industry of farming or grading excavation. The disclosed invention modifies and improves the conventional three-point hitch in use today. The disclosed invention modifies the three-point hitch by adding extending and retracting implement-actuators attachable to the existing bottom-lift-arms, therefore supplanting, but still using the existing bottom-lift-arms on the three-point hitch. The implement-actuators assist the implement in correcting the implements centerline when the tractor centerline is off a predetermined centerline path. In addition, the extending of the implement-actuators proportionally, inversely and simultaneously can correct the pivot point of the implement to match the pivot point of the tractor while the tractor performs turns during the working use of the implement.

A work management system includes an estimation unit that estimates a performed work amount based on a position of a portion of a work object to which a fluid is estimated to be blown while the work is performed. In addition, the work management system includes a first correction unit that compares a target passing position through which a fluid blowing device passes while the work is performed with a position of the fluid blowing device to determine whether the fluid blowing device has passed through the target passing position while the work is performed, and executes a first correction process of reducing the work amount estimated by the estimation unit when it is determined that the fluid blowing device has not passed through the target passing position.

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.

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.