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.

This autonomous traveling control system is capable of generating, in a headland region which is in a farm field surrounded by peripheries formed from a plurality of edges and which is formed between the peripheries and a work region in which a work vehicle works while traveling autonomously, a headland traveling auxiliary route along which the work vehicle travels autonomously. The autonomous traveling control system selects, from among the plurality of edges, a selective edge for generating the headland traveling auxiliary route, on the basis of the distance between the edges and the vehicle position of the work vehicle and of the angles formed between the edges and the vehicle orientation of the work vehicle.

This work information management device includes: a tractor-side information acquisition unit for acquiring tractor-side information which includes position information of a tractor at each of specific times and operation information of the tractor at each of specific times, such tractor-side information being acquired from the tractor having mounted thereon any one of a plurality of types of work machines; and a work type estimation unit for estimating the work type of work that has been carried out by a work machine mounted on the tractor, on the basis of the tractor-side information acquired by the tractor-side information acquisition unit.

An agricultural machine includes one or more illuminators to illuminate surroundings of the agricultural machine in a traveling direction thereof, and a controller to control self-driving of the agricultural machine while keeping at least one of the one or more illuminators deactivated at nighttime.

A management terminal, which manages one of a tractor, a rice transplanter, and a combine harvester, as a plurality of types of work machines that perform a plurality of types of work, respectively, on a field, is provided with a storage portion which stores a management application for managing the plurality of types of work machines, a control device which activates the management application, and a display portion. When the control device activates the management application, the control device displays, on the display portion, a plurality of app activation icons corresponding to the plurality of types of work machines, respectively, in such a way that the plurality of app activation icons are selectively operable. Also, the control device activates, in response to selective operation of any one of the plurality of app activation icons, an individual application for operating the work machine corresponding to the selectively operated app activation icon.

A system and a method are disclosed for determining a heading of a vehicle and a heading of an implement of a farming machine when the farming machine is stationary or moving at a speed below a threshold speed. The vehicle and the heading are attached together via a pivot hitch. A farming machine management system receives coordinates from a first location sensor coupled to the vehicle and a second location sensor coupled to the implement. The farming machine management system determines intersection points between a first circle centered at the first location sensor and a second circle centered at the second location sensor. The farming machine management system selects one of the intersection points based on an output of a machine learning model. The farming machine management system determines the headings of the vehicle and the implement and generates instructions for operating the farming machine based on the headings.

An apparatus is presented that receives first and second parameters including first parameters from plural harvesting machines, determines a batch unload for a specified quantity of material to unload from each of the harvesting machines, requests permission to receive the batch unload from one of the harvesting machines, and communicates a control signal to trigger the requested batch unload from the one of the harvesting machines.

A working vehicle is capable of autonomously traveling on a target traveling route and appropriately performing illumination during autonomous traveling to enable an operator to reliably confirm the presence of obstacles or the like on the target traveling route. The working vehicle includes a traveling body to autonomously travel on the target traveling route, illumination lamps located on the traveling body to respectively illuminate different directions, and a controller to change a control relating to a way of turning on the illumination lamps during the autonomously traveling.

Methods for autonomous operation of harvesters use header drive pump displacement, header speed, harvester ground speed, engine load and engine speed to control and maximize harvester operation under varying conditions such as crop type, crop condition and terrain. Adaptive learning processes within the methods relate the parameters of pump displacement with header speed and engine speed during harvester operation to permit the control system to establish combinations of related control parameters which are used by a control system to control harvester operation.

A system for performing autonomous agriculture within an agriculture production environment includes one or more agriculture pods, a stationary robot system, and one or more mobile robots. The agriculture pods include one or more plants and one or more sensor modules for monitoring the plants. The stationary robot system collects sensor data from the sensor modules, performs farming operations on the plants according to an operation schedule based on the collected sensor data, and generates a set of instruction for transporting the agriculture pods within the agriculture production environment. The stationary robot system communicates the set of instructions to the agriculture pods. The mobile robots transport the agriculture pods between the stationary robot system and one or more other locations within the agriculture production environment according to the set of instructions.