The present invention relates to the technical field of crop harvesting machinery, in particular to an automatic harvesting and collecting device for sisal hemp leaves, which includes an up-and-down moving assembly, a steering device, a braking mechanism, a mechanical vision sensor device, a vehicle traveling and controlling device, a forward-and-backward moving assembly, an omnidirectional automatic positioning and rotating device, a shearing and clamping device, a collecting device and a frame.

A crop-extraction system includes a crop-conveying medium, a plurality of unmanned aerial vehicles tethered together and configured to suspend the crop-conveying medium in air, and at least one crop-extraction device configured to extract crop and transfer the crop to the crop-conveying medium. Other crop-extraction systems include a ground vehicle carrying a storage bin, a crop-conveying medium coupled to the ground vehicle, and an unmanned aerial vehicle coupled to the crop-conveying medium and configured to extract crop and transfer the crop to the crop-conveying medium for deposit into the storage bin. Related methods are also disclosed.

A crop-extraction system includes a crop-conveying medium, a plurality of unmanned aerial vehicles tethered together and configured to suspend the crop-conveying medium in air, and at least one crop-extraction device configured to extract crop and transfer the crop to the crop-conveying medium. Other crop-extraction systems include a ground vehicle carrying a storage bin, a crop-conveying medium coupled to the ground vehicle, and an unmanned aerial vehicle coupled to the crop-conveying medium and configured to extract crop and transfer the crop to the crop-conveying medium for deposit into the storage bin. Related methods are also disclosed.

The invention provides a device and method for quickly, easily and accurately removing flowers or buds from a plant stem in a single step by using a device that is a cover or partial cover for a bucket or container that can be attached and removed from the bucket or container, and the device further providing one or more substantially rigid grooves or shaped edges and pressing an herb or stem of herbs or plants firmly into and against the one or more grooves or shaped edges utilizing a method according to the invention to permit stripping or removing the flower(s) or bud(s) that are attached to the plant or herb stem in a single step. In a preferred aspect, the invention provides such devices and methods that include a device having a plurality of grooves or shaped edges that can efficiently catch and strip buds or flowers from herbs or plants.

The invention provides a device and method for quickly, easily and accurately removing flowers or buds from a plant stem in a single step by using a device that is a cover or partial cover for a bucket or container that can be attached and removed from the bucket or container, and the device further providing one or more substantially rigid grooves or shaped edges and pressing an herb or stem of herbs or plants firmly into and against the one or more grooves or shaped edges utilizing a method according to the invention to permit stripping or removing the flower(s) or bud(s) that are attached to the plant or herb stem in a single step. In a preferred aspect, the invention provides such devices and methods that include a device having a plurality of grooves or shaped edges that can efficiently catch and strip buds or flowers from herbs or plants.

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.

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.