A travel control method includes using the vehicle to autonomously control a travel of the vehicle. The vehicle has an autonomous speed control function for autonomously controlling a traveling speed of the vehicle and an autonomous steering control function for autonomously controlling the steering of the vehicle. The autonomous speed control function includes a curved route speed control function for controlling the traveling speed of the vehicle at a set speed corresponding to the size of a curve of a travel route. The curved route speed control function can be set to ON/OFF. Each of the autonomous speed control function and the autonomous steering control function can be set to ON/OFF. When the autonomous speed control function and the autonomous steering control function are set to ON, the curved route speed control function is operated regardless of whether the curved route speed control function is set to ON or OFF.

A method of controlling a mower implement includes sensing a separation distance between the mower implement and an adjacent windrow with an outboard distance sensor. The sensed separation distance is then compared to a defined separation target. The computing device indicates that a course of the mower implement is on-target when the separation distance is approximately equal to the defined separation target. The computing device indicates that the course of the mower implement is drifting in a first direction when the separation distance is less than the defined separation target and greater than zero. An offset distance is sensed between the mower implement and a standing crop edge. The computing device indicates that the course of the mower implement is drifting in a second direction when both the separation distance and the offset distance are substantially equal to zero.

Methods, systems 1 and devices such as robots 8, 9 for farming are disclosed. An autonomous monitoring robot is configured to traverse a farm plot and generate, from a sensor set of the monitoring robot, a farm plot data set. The farm plot data set is processed to generate operating instructions for a tending robot. The tending robot is arranged to execute the operating instructions so as to traverse the farm plot and performs tending tasks on it including such as seed-planting, weeding, and applying crop treatments such as fertiliser, fungicide, herbicide or pesticide.

System and techniques for calibrating a crop row computer vision system are described herein. An image set that includes crop rows and furrows is obtained. Models of the field are searched to find a model that best fits the field. A calibration parameter is extracted from the model and communicated to a receiver.

A method includes obtaining, by the treatment system configured to implement a machine learning (ML) algorithm, one or more images of a region of an agricultural environment near the treatment system, wherein the one or more images are captured from the region of a real-world where agricultural target objects are expected to be present, determining one or more parameters for use with the ML algorithm, wherein at least one of the one or more parameters is based on one or more ML models related to identification of an agricultural object, determining a real-world target in the one or more images using the ML algorithm, wherein the ML algorithm is at least partly implemented using the one or more processors of the treatment system, and applying a treatment to the target by selectively activating the treatment mechanism based on a result of the determining the target.

The invention relates to a method and forest work machine (1) making use of it, by means of which the control of the forest work machine is assisted. In the forest work machine, a light source (2) is adapted, which may be directed to one or more different parts of the surroundings around it, forming the working area of the forest work machine. This is adapted to produce at least one specifically defined specified-form light pattern (3) on said working area. With such a light pattern, visual information content may be produced on the working area to support an operator of the forest work machine in their work. As content of such information, it is possible to define control measures for the forest work machine, performed in any working area or their restrictions.

A system for monitoring soil conditions within a field includes an agricultural implement including a frame and a ground-engaging tool coupled to the frame. The system further includes a first sensor coupled to the ground-engaging tool and configured to detect motion of the ground-engaging tool as the agricultural implement is moved across the field. The system additionally includes a second sensor separate from the first sensor. The second sensor is configured to detect an orientation of the ground-engaging tool relative to the frame as the agricultural implement is moved across the field. The system includes a controller communicatively coupled to the first and second sensors. The controller is configured to determine an indication of a soil condition at a given location within the field based at least in part on the detected motion and the detected orientation of the ground-engaging tool at the given location within the field.

The use of self-powered, autonomous vehicles in agricultural and other domestic applications is provided. The vehicles include a self-propelled drive system, tracks or wheels operatively connected to the drive system, a power supply operatively connected to the drive system, an attachment mechanism for attaching equipment to the vehicle, and an intelligent control operatively connected to the drive system, power supply, and attachment mechanism. The vehicle is configured to connect to the equipment to perform agricultural operations based upon the equipment. Multiple vehicles can be used in a field at the same time. Furthermore, the invention includes the ability to move one or more of the autonomous vehicles from field to field, home to field, or from generally any first location to a second location.

An object-collection system is disclosed. The system including a vehicle connected to a bucket, a camera connected to the vehicle, and an object picking assembly configured to pick up objects off of ground. The system further includes a processor that obtains object information for identified objects, guides the object-collection system over a target geographical area toward the identified objects based on the object information, captures images of the ground relative to the object picker as the object-collection system is guided towards the identified objects, identifies a target object in the images, tracks movement of the target object across the images as the object-collection system is guided towards the identified objects, and employs the tracked movement of the target object to instruct the object picker to pick up the target object.

A system and method for automated grain inspection and analysis of results during harvest, using an inspection system mounted on a combine harvester with geolocation tracking, allowing for real time analysis during harvest and tracking of grain quality by location of harvest.