A computer-implemented method for effective agriculture and environment monitoring. The method may comprise measuring a desired variable over an area of interest using a remote inspection platform according to an inspection plan, predicting an occlusion of the remote inspection platform, and in response to the predicted occlusion, determining whether to invoke a local inspection platform to complete the inspection plan. The occlusion in some embodiments interrupts the inspection plan for the remote inspection platform.

An aerial lawnmower, including a main body, a mower assembly disposed on at least a portion of a first end of the main body to cut at least one vegetation in response to rotating, and a plurality of rotors disposed on at least a portion of a second end of the main body to perform at least one of increase and decrease an elevation of the main body in response to rotating.

The present disclosure relates to a remote sensing system, comprising: an air towable housing for carrying one or more sensors, the air towable housing and/or a comprising at least a first pulley.

A node (121-123) of a wireless communications network (120) and an aerial vehicle (110), such as an Unmanned Aerial Vehicle (UAV), a drone, an aircraft, or a helicopter, comprising a communications module (111) are provided. The node is operative, in response to detecting that the aerial vehicle enters a pre-defined geographical region (221-227) within a coverage area of the wireless communications network, to transmit a cell broadcast message (126; 201-204) to the aerial vehicle. The aerial vehicle is operative to receive the cell broadcast message from an access node (121) of the wireless communications network, and, in response thereto, correct its flight path (211-214) based on the received cell broadcast message. Preferably, the cell broadcast message comprises at least one, or a combination, of an instruction, a limitation, a restriction, a direction or a change thereof, a bearing or a change thereof, an altitude or a change thereof, an aerial vehicle type, and an aerial vehicle identity.

An unmanned aerial vehicle (UAV) includes a sprayer configured to generate a pressurized fluid flow and a nozzle configured to receive the pressurized fluid from the sprayer and to generate a spray fan to apply the fluid to a surface. The UAV includes sensors and a control unit to control both flight of the UAV and spraying by the sprayer. The fluid can be stored onboard the UAV in a reservoir or can be remotely stored and pumped to the UAV. The UAV control unit can be preloaded with a spray plan and a flight plan, or the UAV can be controlled by a user.

A drone system is configured to capture an audio stream that includes voice commands from an operator, to process the audio stream for identification of the voice commands, and to perform operations based on the identified voice commands. The drone system can identify a particular voice stream in the audio stream as an operator voice, and perform the command recognition with respect to the operator voice to the exclusion of other voice streams present in the audio stream. The drone can include a directional camera that is automatically and continuously focused on the operator to capture a video stream usable in disambiguation of different voice streams captured by the drone.

A system may be configured to detect an emergency condition at a premises; dispatch one or more autonomous drones to a location associated with the emergency condition; receive from the one or more autonomous drones, sensor data associated with the emergency condition; generate, based on the sensor data, a plan identifying an evacuation route for safely evacuating the premises; and transmit an instruction that causes the one or more autonomous drones to indicate, to one or more persons in a vicinity of the emergency condition, the evacuation route. The system may further detect, based on the sensor data, one or more safe areas in the premises, and the evacuation route may pass through at least one of the one or more safe areas.

Described herein are techniques for generating contextually rich plant images. A number of data captures of raw plant data are generated via a sensing unit configured to navigate a growing facility. Metadata is generated and assigned to the raw plant data including at least one of: plant location, timestamp, plant identification, plant strain, facility identification, facility location, facility type, health risk factors, plant conditions, and human observations. Images generated by the sensing unit are analyzed and pixel annotations are generated in the images based on their relation to one or more plant well-being features. Data tags are generated and assigned the data captures based on an analysis of the data captures. The data tags are text phrases linking a particular data capture to a specific threat to plant well-being.

The present invention relates to an atmospheric environment-improving drone having life-saving and advertising functions, and more specifically, to a drone configured to move while hovering in the air, the drone comprising: a drone body; and a hovering transport unit for hovering the drone body in the air and moving same. The drone body is provided with a water spray means for purifying the air by adsorbing dust and fine dust in the air. The water spray means includes: support shafts, each of which has one end fixed on the outer surface of the drone body; spray liquid supply pipes fixed to lower portions of the support shafts; and spray liquid spraying nozzles formed at regular intervals on the purified liquid supply pipes. Since the drone configured to move while hovering in the air is used to spray water from the air, the drone can spray a wider area than ground-based water spray devices, thus having the effect of improving the purification efficiency for contaminants or fine dust in the air. Moreover, the drone has an advertising function, and thus can also achieve an advertising effect.

A payload support frame is adapted to suspend a payload from an unmanned aerial vehicle (UAV) during flight. The frame comprises at least one elongated rigid segment, at least one upper flexible segment at an upper end of the rigid segment, and at least one lower flexible segment at a lower end of the rigid segment. One or more of (a) the at least one rigid segment, (b) the at least one upper flexible segment, or (c) the at least one lower flexible segment comprise a dielectric material. The upper flexible segment is adapted to be selectively attachable, directly or indirectly, to the UAV. The lower flexible segment is adapted to be selectively attachable, directly or indirectly, to the payload.