An automatic traveling method includes causing a work vehicle to automatically travel along a target route in a work field, and executing a correction operation of correcting a deviation using a shift amount of the work vehicle generated in the past correction operation when the deviation including at least a positional deviation or an azimuth deviation of the work vehicle with respect to the target route exceeds a threshold.

Techniques for multi-modal contextualization of object detection for use with an agricultural vehicle are described herein. The techniques can provide additional context information to radar detection to assess the likelihood of an object detected by radar of being an object of interest. Examples of detection that might be detected by a radar sensor that, based on the additional context information, the agricultural vehicle can make a determination to ignore can include ground targets, ghost targets, side or overhead reflections from obstacles, detections from tall crops/weeds in a field.

A sensor module having multiple sensors for collecting, analyzing, storing, and transmitting data related to environmental and plant growth data in an agricultural habitat, such as a greenhouse, is disclosed. One or more modules are placed at various locations in a greenhouse, to collect data including any of temperature, temperature gradient, humidity, light levels, light frequencies, soil moisture, soil composition, plant health, plant growth, plant quality e.g. maturity and/or fruit quantity and/or ripeness. The sensor module is adapted for robotic placement within the greenhouse, although the module ay initially be placed by hand. The module is powered by internal batteries or a large capacitor or capacitor array and is recharged by a greenhouse robot that may comprise any of a robot arm configured for movement within a greenhouse via a conveyer or track system, a wheeled robot, or a drone.

An agricultural machine includes a controller configured or programmed to control an action of the agricultural machine, and at least one sensor to sense an environment around the agricultural machine. When the at least one sensor acquires motion information of a person performing a gesture, the controller is configured or programmed to cause the agricultural machine to perform an action determined based on a type of the gesture and an operational authority granted to the person.

An agricultural work assistance system includes an input to input dimension information of a working device coupled to an agricultural machine and a work condition for performing agricultural work on an agricultural field by the agricultural machine and the working device, a route creator to create a traveling route of the agricultural machine on a map indicative of the agricultural field on the basis of the dimension information of the working device and the work condition, an output to output the traveling route, and a dimension determiner to receive the dimension information of the working device input by the input, determine whether the dimension information satisfies a predetermined restriction condition according to a kind of agricultural work performed by the working device, and refuse to receive the dimension information in a case where it is determined that the dimension information does not satisfy the restriction condition.

A path planning system for an agricultural machine to automatically travel inside and outside a field includes a storage to store a map of a region including fields and roads, and a processor to generate a path for the agricultural machine on the map. The map includes attribute information representing, for each of the roads, at least one of whether the road is an agricultural road, whether the road is a road along a specific feature, or whether the road is a road where satellite signals from GNSS satellites are receivable. The processor is configured or programmed to generate at least one of a path including an agricultural road with priority, a path including a road along the specific feature with priority, or a path including, with priority, a road where the satellite signals are receivable, as the path for the agricultural machine based on the attribute information.

An obstacle detection system for an agricultural machine to perform self-driving while sensing a surrounding environment with a LiDAR sensor and a camera includes a controller configured or programmed to cause the camera, upon detecting an obstacle candidate based on data that is output from the LiDAR sensor, as a trigger, to acquire an image of the obstacle candidate, and determine whether or not to change a traveling status of the agricultural machine based on the image of the obstacle candidate acquired with the camera.

A tilt rotor-based linear multi-rotor unmanned aerial vehicle (UAV) structure for crop protection and a control method thereof are provided. The tilt rotor-based linear multi-rotor UAV structure for crop protection includes main lift power structures, tilt power structures, and a main frame structure, where the main frame structure is located in a middle; the main lift power structures are distributed at left and right ends of the main frame structure; and the tilt power structures are symmetrically distributed between the main frame structure and the main lift power structures. A vector power structure is adopted to ensure flexible attitude changes and smoother and more accurate UAV operations, and improve the operation efficiency. Meanwhile, the tilt rotor-based linear multi-rotor UAV structure is adapted to the complex working environment in China's ever-changing terrains.

A remote agricultural vehicle interface system includes an agricultural vehicle capability input configured to receive one or more vehicle characteristics of an agricultural vehicle and a remote vehicle interface generator that generates a remote vehicle interface for the agricultural vehicle based on the vehicle characteristics. The remote vehicle interface includes one or more remote outputs and one or more remote inputs for the agricultural vehicle. A remote access evaluator includes one or more of an electronic device input, a vehicle to device connection input, or a vehicle to device range input configured to receive one or more range characteristics. An interface refinement tool is configured to refine the remote vehicle interface based on one or more of electronic device characteristics, connection characteristics, or range characteristics. A remote vehicle interface output is configured to communicate the remote vehicle interface refined with the interface refinement tool to a candidate electronic device.

A travel control system for an agricultural machine capable of performing remotely-manipulated traveling including a storage to store a position of a permitted area in which the remotely-manipulated traveling is permitted conditionally, and a controller operable in a remote manipulation mode in which travel of the agricultural machine is controlled by remote manipulation. In the remote manipulation mode, when a state of the agricultural machine does not satisfy a condition required for the remotely-manipulated traveling in the permitted area, the controller is configured or programmed to disable a remote manipulation to cause the agricultural machine to travel in the permitted area.