A system to guide robotic automation of vertical farming, comprising: artificial intelligence optimization software that estimates size, mass and yield of the vertical farming; wherein the artificial intelligence optimization software is coupled to a robot; wherein the robot utilizes computer vision in order to estimate the height, growth and mass of plants in a vertical farm; wherein the robot has a robotic arm that sows seeds in the vertical farm; wherein once the seed grows past a seedling, the robot moves the seedling to a hydroponics greenhouse; wherein in the hydroponics greenhouse the robot uses computer vision to estimate the height, growth and mass of plants; and wherein the artificial intelligence optimization software provides guidance and feedback on when and where the robot should make changes to plants in the hydroponic greenhouse. The system also has sensors throughout the vertical farm and greenhouse that send data to the software.

A production system for a forestry application comprising a server and a wireless production network, configured to be connected to forest machines and vehicles, at least one forestry harvester vehicle and one forwarder vehicle, the vehicles having a wireless data connection to the production system server and network, having a positioning system, identify the type of processed logs, measure the amount of processed logs, measure the lengths of processed logs, measure the quality of the processes logs, visually record the vehicle surroundings, process the recorded images to identify objects, store them, and send them via the production network, the vehicles having a display so that the vehicle operator may compare images with different time stamps, the system adapted to visualize changes between the images based on the identified objects and time stamps, so that the vehicle operator may identify tracks, objects, logs, log piles during visually impaired conditions.

A route planning system configured to create a route plan of a forage harvesting process chain. The forage harvesting process chain comprises a plurality of agricultural work machines which perform a forage harvesting process in a predetermined order. The forage harvesting process comprises successive process steps with each process step being performed by a number of the plurality of agricultural work machines. The route planning system is further configured to generate a common route plan for the plurality of agricultural work machines of the forage harvesting process chain and/or an individualized route plan for each agricultural work machine of the plurality of agricultural work machines.

An autonomous lawn mower includes: an image acquisition apparatus disposed at a front end. An area covered by a projection of a field of view angle of the image acquisition apparatus onto a horizontal plane with a preset height is a field of view area of the image acquisition apparatus. The field of view area includes a first field of view boundary far away from the front end and a second field of view boundary close to the front end in the traveling direction of the body. The image acquisition apparatus is installed according to preset installation parameters, so that a distance between the first field of view boundary and the front end is greater than or equal to a response distance of the autonomous lawn mower.

A method for controlling an agricultural vehicle includes receiving, via a processor, a first signal from a user interface indicative of a value of at least one parameter. The method also includes determining, via the processor, a path of the agricultural vehicle toward a guidance swath based at least in part on the at least one parameter. In addition, the method includes outputting, via the processor, a second signal to a display of the user interface indicative of instructions to present a graphical representation of the path of the agricultural vehicle. Furthermore, the method includes controlling the agricultural vehicle, via the processor, based at least in part on the at least one parameter upon receiving at least a third signal from the user interface indicative of acceptance of the value of the at least one parameter.

A system for measuring and interpreting a force, comprises at least one working implement, for acting on an agricultural field and at least one force sensor, for measuring a force of the working implement. Further, a data interpretation unit calculates an interpretation of the measured force; wherein the data interpretation unit comprises a machine learning unit that calculates the interpretation of the measured force. Also, a system for controlling agricultural operations comprises at least one agricultural working means for working on an agricultural field and at least one first imaging device located at the agricultural working means for acquiring images of an environment of the agricultural working means.

An agricultural hitch with a system for management and guidance of maneuvers and a method employed by the hitch is provided. The hitch includes a tractor, an agricultural machine hitched by an articulated linkage, and a system for management and guidance of maneuvers, provided with a computing and control unit. The computing and control unit or of the hitched agricultural machine constitutes the master unit of the system for management and guidance of maneuvers, and is adapted to compute a set path for a maneuver to come, by employing an algorithm for prediction of paths and an algorithm for optimization of path settings, and to automatically execute the maneuver or of assisting in semiautomatic execution of the maneuver by steering the tractor and by recording, during maneuvering, the differences between the predefined set path and the real or currently estimated path.

For easy setting of a path of an autonomously-traveling autonomous travel work vehicle, provided is a method for setting a path for an autonomous travel work vehicle to run and operate by determining positions with the use of a satellite positioning system so as to drive and carry out an agricultural field operation. The method includes inputting a front-to-back length of a vehicle body, a width of an implement and an overlapping amount of implements (24) in a width direction, positioning a work vehicle at inflection points successively along an outer circumference of the agricultural field and determining positions with the use of the satellite positioning system, setting a work area, an operation start position and an operation end position, a direction for starting reference traveling, headlands (HB) on both ends of the work area (HA), and a travel path (R) within the agricultural field.

The disclosure relates to a forestry system (1). The forestry system comprises a harvester (10) comprising an electrical energy generator, and a plurality of self-driving shuttles (20a-f) for transporting logs harvested by the harvester. Each shuttle comprises an electrical energy storage and at least one electrical motor powered by the electrical energy storage. The electrical energy storage of said shuttle is configured to be coupled to the electrical energy generator and charged thereby. The harvester is configured to load a harvested log onto a coupled shuttle and charge the electrical energy storage of said coupled shuttle using electrical energy from the electrical energy generator.

A construction vehicle generates an object map to facilitate navigation. The construction vehicle captures an image of the area behind the construction vehicle, and generates a disparity image reflecting depth behind the construction vehicle. The construction vehicle generates and processes a 3D point cloud representation of the area behind the construction vehicle to identify a ground plane. The construction vehicle dynamically generates a virtual plane parallel to the ground plane based on the movement and position of the construction vehicle. After applying the virtual plane to the disparity image, the construction vehicle generates an object map identifying locations of objects greater than a threshold size and the height of the virtual plane. The construction vehicle navigates through the area behind the construction vehicle using the generated object map.