A harvesting device includes: a harvesting unit that harvests an object to be harvested; a harvesting unit-moving unit that moves the harvesting unit to an appropriate position for harvesting the object to be harvested; an imaging unit that captures an image; and a controller, wherein the controller performs a first step of determining, based on the image, whether or not interference between the harvesting unit and an obstacle occurs when the harvesting unit is positioned at the appropriate position, a second step of determining, based on the image, whether or not interference between the harvesting unit-moving unit and the obstacle occurs when the harvesting unit is positioned at the appropriate position, when it is determined in the first step that the interference does not occur, and a third step of causing the harvesting unit to harvest the object to be harvested when it is determined in the second step that the interference does not occur.

A harvesting device includes a harvesting unit that harvests an object to be harvested, a harvesting unit moving unit that moves the harvesting unit to an appropriate position for harvesting the object to be harvested, a main body on which the harvesting unit and the harvesting unit moving unit are provided, a main body moving unit that moves the main body, and a controller. The controller executes a first step of determining whether or not one or more obstacles interfere with the harvesting unit when the harvesting unit is positioned at the appropriate position, a second step of determining whether or not the one or the plurality of obstacles interfere with the harvesting unit-moving unit when the harvesting unit is positioned at the appropriate position when it is determined that the interference does not occur in the first step, and a third step of causing the harvesting unit to harvest the object to be harvested when it is determined that the interference does not occur in the second step.

A robotic harvesting system includes a base, a linear transport, a robotic arm, and an end effector. The base is configured to move in a direction of travel. A linear transport is mounted to the base. The linear transport is configured to move along the base in substantially a same direction or opposite direction as the direction of travel. A robotic arm is mounted to the linear transport. The robotic arm has a proximal end and a distal end. The distal end of the robotic arm is configured to rotate toward and away from the base from a first joint. An end effector is mounted on the distal end of the robotic arm.

A robotic harvesting system includes a base, a gantry system, a robotic arm, and a control system. The base is configured to move in a direction of travel. The gantry system is coupled to the base. The gantry includes a linear transport that is configured to move along the base in substantially a same direction or opposite direction as the direction of travel. The linear transport is coupled to a rod that extends downwards from a top portion of the gantry system. A robotic arm is mounted to the rod at a first joint. A control system is configured to send one or more corresponding commands that cause the linear transport, the rod, and/or the robotic arm to move.

A harvesting header includes a header frame structured to be coupled to the crop-harvesting machine, a hydraulic pump carried by the header frame, at least one tool carried by the header frame, a hydraulic fluid loop carried by the header frame, a fluid inlet structured to receive hydraulic fluid from the crop-harvesting machine, and a fluid outlet structured to deliver hydraulic fluid to the crop-harvesting machine. The hydraulic fluid loop is structured to circulate hydraulic fluid within the header from the hydraulic pump to the tool(s) and back to the hydraulic pump. Related methods of operating a harvesting header and a non-transitory computer-readable media are also disclosed.

An agricultural working machine with a driver assistance system is disclosed. The driver assistance system controls driving functions of the agricultural working machine and at least one working assembly of the agricultural working machine in the context of performing a work process. The driver assistance system accesses a set of rules in the form of control strategies to control the at least one work assembly according to a specific control strategy. The driver assistance system includes an interface to communicate with an external computer unit, which is remote from the agricultural working machine, and through which data can be exchanged between the driver assistance system and the external computer unit. For example, the driver assistance system receives data from the external computer unit via the interface during the work process of the agricultural working machine, and selects the control strategy for performing the work process based on the data.

Systems and methods here may include a vehicle with automated subcomponents for harvesting delicate items such as berries. In some examples, the vehicle includes a targeting subcomponent and a harvesting subcomponent. In some examples, the targeting subcomponent utilizes multiple cameras to create three-dimensional maps of foliage and targets. In some examples, identifying targets may be done remotely from the harvesting machine, and target coordinates communicated to the harvesting machine for robotic harvesting.

A combine harvester and method of detecting and notifying an operator of operational inefficiencies of the combine harvester are provided. The combine harvester may include a user interface, a plurality of sensors, and a control system having a processing element configured to perform certain steps. The steps may include receiving, via the user interface or a database, data representative of a performance target; receiving, via the user interface or the database, data representative of a mechanical configuration of the combine harvester; detecting, via a sensor, data representative of an operational metric; determining, via the processing element, whether the operational metric satisfies the performance target; determining, via the processing element, a suggested adjustment to the mechanical configuration associated with the operational metric; and displaying, via the user interface, the suggested adjustment to the mechanical configuration associated with the operational metric.

Systems and methods are provided for adapting picker yield data collected by pickers (e.g., ear pickers, combines, etc.) to account for errors in calibration of the pickers. One exemplary computer-implemented method includes accessing data for a field harvested by multiple pickers, wherein the accessed data includes yield data for the field received from of the pickers, and determining a mass differential for a crop harvested by the pickers from the field. When the mass differential exceeds a threshold, the method then further includes calculating a normalization factor for at least one pair of the pickers, calculating a scaling factor associated with one of the pickers of the at least one pair of the pickers based on the normalization factor, and applying the scaling factor to the yield data received from the pickers such that the yield data is normalized.

A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.