The present invention relates to an unmanned aerial vehicle (UAV) for agricultural weed management. The UAV comprises a control and processing unit (20), and a camera (30). The control and processing unit is configured to control the UAV to fly to a location inside the canopy of a crop and below the vertical height of the crop and/or between a row of a plurality of crops and below the vertical height of the plurality of crops. The control and processing unit is configured to control the camera to acquire at least one image relating to the ground at the location inside the canopy of a crop and below the vertical height of the crop and/or between a row of a plurality of crops and below the vertical height of the plurality of crops. The control and processing unit is configured to analyse the at least one image to determine the presence of at least one weed and its location on the ground.

The present invention relates to a system (10) for remote and/or autonomous selecting a tree to be harvested and/or to be transported, said system comprising: a remotely and/or autonomously controlled Unmanned Aerial Vehicle (100), UAV, comprising, at least one means for holding (105) and/or harvesting said at least a portion of a tree, means for detecting said a tree to be transported and/or harvested, means for detecting at least one of the group of tree parameters: diameter of said tree, length of said tree, tree species of said tree and/or the weight of said tree, a base station (120) for communication with said means configured for holding (105) and/or harvesting said tree and said UAV (100), and means configured for selecting at least a portion of a tree to be harvested and/or transported depending on at least one of said detected tree parameters.

The invention relates to a system (10) for remote and/or autonomous harvesting at least a portion of a tree, said system (10) comprising: a remotely and/or autonomously controlled means (110) configured for harvesting said at least a portion of a tree, a remotely and/ or autonomously controlled Unmanned Aerial Vehicle (100), UAV, comprising, at least one means for holding (105) said harvested portion of said tree and being configured for transporting said harvested portion of said tree away from the original location of the tree, wherein said system comprising at least one means for detecting said tree to be harvested, and a base station (120) for communication with said means configured for harvesting at least a portion of a tree and/or said UAV. The invention also relates to a method for remotely and/or autonomously harvesting a tree.

The present disclosure provides a versatile drone and nest launching system. A hybrid UAV drone having fixed wings in addition to vertical take-off and landing capabilities is used to enable the launching nest to remain compact and of simple design with few moving parts, while also housing a drone capable of travelling long distances. The entire system is configured function autonomously, utilising a solar-powered charging pad installed on the nest to repeatedly recharge and relaunch depleted drones. Novel mounting systems for situating the nest in a variety of terrains are also disclosed.

A robotic harvesting platform system for harvesting or diluting fruits in an orchard, the system comprising: a support frame, an elongated platform attached to said support frame, two or more robotic harvesting units associated with said elongated platform at different points thereon, one or more fruit detection units for identifying location and position of said fruits, wherein: said robotic harvesting platform system is designed to harvest fruits from a tree(s) at different heights simultaneously; and each robotic harvesting unit is designed to operate independently from the other robotic harvesting units.

A method for performing a crop yield estimation using a semi-supervised deep convolution neural network is provided. The method includes receiving monitoring data from a drone, wherein the monitoring data comprises a video of the crops captured by the drone; sampling the video by a predefined frame rate to obtain one or more images; inputting the images to a crop yield estimation model to obtain one or more result data, wherein the crop yield estimation model comprises a generator and a discriminator each comprising one or more DCNNs, and wherein the crop yield estimation model is trained by a semi-supervised learning method; and performing a quantity estimation and a quality estimation corresponding to the crops as shown in the images according to the one or more result data, so as to determine a total number and maturities of the crops respectively.

The invention relates to a system for remote and/or autonomous holding at least a portion of a tree trunk, said system comprising: a remotely and/or autonomously controlled Unmanned Aerial Vehicle (100), UAV, at least one remotely and/or autonomously controlled means (105) for holding at least a portion of a tree trunk attachable to said UAV (100), means for detecting at least a portion of a tree, means for detecting at least one tree parameter of at least a portion of a tree and/or at least one growing condition of at least a portion of a tree, a base station for communication with said UAV (100), means configured for directing said means (105) for holding at least a portion of a tree trunk to a particular position of said tree trunk depending on said at least one detected tree parameter and/or said at least one detected growing condition.

Disclosed herein are an apparatus and method for providing a wide-area precision agriculture service based on collaboration between heterogeneous drones. The method for providing a wide-area precision agriculture service based on collaboration between heterogeneous drones includes transferring first mission information including photography of an entirety of arable land to a fixed-wing drone, receiving first drone data corresponding to the first mission information from the fixed-wing drone, and analyzing the entire agricultural arable land based on the first drone data, and transferring detailed mission information generated based on a result of analysis of the entire agricultural arable land to at least one rotary-wing drone.

The invention discloses a shepherd unmanned aerial vehicle device comprising an unmanned aerial vehicle rack, a rotor wing device, a power supply device, a shepherd device and an unmanned aerial vehicle control host arranged in the unmanned aerial vehicle rack; said rotor wing device comprises first rotor wing mechanisms and second rotor wing mechanisms which are arranged on the unmanned aerial vehicle rack; the power supply device comprises lithium batteries, wind power generation wheel wing mechanisms and a solar panel; said lithium battery is arranged at the upper end of the unmanned aerial vehicle rack; the shepherd device comprises a power grid mechanism, an infrared scanning mechanism and a camera; by the way of detecting flocks of sheep via the camera and the infrared scanning mechanism on the unmanned aerial vehicle rack, the power grid mechanism reaches the effect of controlling the flocks of sheep within working range.

Pruning robot including means for removing processionary caterpillar nests, the robot being characterized in that it is carried by a drone provided with an onboard automaton, which is equipped with an electromechanical tool consisting of a gripper associated with a cutting device intended to cut the branches supporting the nests that are to be removed.