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.

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.

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.

The tree harvesting tool is a tool adapted for attachment to a conventional lifter or lifting device for performing harvesting and pre-harvesting operations on a fruit tree. The tree harvesting tool includes a cylindrical shell, having an upper end and a lower end, at least one portion of the cylindrical shell defining a door. The cylindrical shell is adapted for encircling the trunk of the tree. A plurality of panels are pivotally secured to the lower end of the cylindrical shell to define an openable floor having a central opening for receiving the trunk of the tree. A circular track is mounted on the upper end of the cylindrical shell, such that a movable platform may be mounted thereon. A robotic arm is mounted on the movable platform for selectively operating and manipulating a tool for performing tree harvesting and pre-harvesting operations.

The tree harvesting tool is a tool adapted for attachment to a conventional lifter or lifting device for performing harvesting and pre-harvesting operations on a fruit tree. The tree harvesting tool includes a cylindrical shell, having an upper end and a lower end, at least one portion of the cylindrical shell defining a door. The cylindrical shell is adapted for encircling the trunk of the tree. A plurality of panels are pivotally secured to the lower end of the cylindrical shell to define an openable floor having a central opening for receiving the trunk of the tree. A circular track is mounted on the upper end of the cylindrical shell, such that a movable platform may be mounted thereon. A robotic arm is mounted on the movable platform for selectively operating and manipulating a tool for performing tree harvesting and pre-harvesting operations.

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.

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.

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.

An assembly and a method for management of an agricultural area. The assembly comprises at least an elongated truss and an associated chassis with at least one wheel with which the truss can be moved in a circular or linear manner over the arable area, and at least one cultivator which is attached to or provided on the truss by means of a robotic arm. The assembly also comprises a plurality of crates and a conveyor system provided on the truss along its longitudinal extension, wherein at least one crate is movable in a certain direction by the conveyor system along the longitudinal extension of the truss and can be brought to a predetermined position, in particular adjacent to a cultivator.

An assembly and a method for management of an agricultural area. The assembly comprises at least an elongated truss and an associated chassis with at least one wheel with which the truss can be moved in a circular or linear manner over the arable area, and at least one cultivator which is attached to or provided on the truss by means of a robotic arm. The assembly also comprises a plurality of crates and a conveyor system provided on the truss along its longitudinal extension, wherein at least one crate is movable in a certain direction by the conveyor system along the longitudinal extension of the truss and can be brought to a predetermined position, in particular adjacent to a cultivator.