A worksite control system includes a communication system configured to receive weather data corresponding to a worksite, a weather model generation logic configured to generate a weather model based on the weather data, a worksite action identification logic configured to identify a worksite action based on the weather model, and a control signal generator configured to generate a machine control signal that controls a machine associated with the worksite based on the identified worksite action.

Systems and methods for an unmanned aerial vehicle (UAV) and control are provided. A UAV may include a swashplateless and hinged propulsion system, and a rotating payload system including an ISR device, a wind sensor, explosive charge and an atmospherics and/or CBRN sensor. A UAV flight controller may include a motion, compass, visual and gyroscopic (MCVG) or other gravitational forces sensor, a communications module configured to communicate with a UAV, and a flight module. The flight module may be configured to receive flight data from the UAV and generate flight control instructions based at least on the flight data and data received from the MCVG sensor. The flight control instructions may be operable to pilot the UAV based on movement of the UAV flight controller in 3D space.

Systems and methods for an unmanned aerial vehicle (UAV) and control are provided. A UAV may include a swashplateless and hinged propulsion system, and a rotating payload system including an ISR device, a wind sensor, explosive charge and an atmospherics and/or CBRN sensor. A UAV flight controller may include a motion, compass, visual and gyroscopic (MCVG) or other gravitational forces sensor, a communications module configured to communicate with a UAV, and a flight module. The flight module may be configured to receive flight data from the UAV and generate flight control instructions based at least on the flight data and data received from the MCVG sensor. The flight control instructions may be operable to pilot the UAV based on movement of the UAV flight controller in 3D space.

A system and method for determining the wind force along the planned trajectory of a projectile are disclosed herein. A drone is flown along the expected path of the trajectory along a set heading. The drone is programmed to maintain the heading. As wind forces act upon the drone during its flight, the drone's electronic stability system provides automatic power and directional control to one or more motors that control the rotors and propellers that keep the drone aloft. By monitoring the changes in motor or drone state information over time in response to wind forces, the wind can be determined at various locations along the flight path. This information can be provided to a ballistics calculator to determine the launch heading of the projectile.

A system and method for determining the wind force along the planned trajectory of a projectile are disclosed herein. A drone is flown along the expected path of the trajectory along a set heading. The drone is programmed to maintain the heading. As wind forces act upon the drone during its flight, the drone's electronic stability system provides automatic power and directional control to one or more motors that control the rotors and propellers that keep the drone aloft. By monitoring the changes in motor or drone state information over time in response to wind forces, the wind can be determined at various locations along the flight path. This information can be provided to a ballistics calculator to determine the launch heading of the projectile.

A method and apparatus for automatically determining a characteristic of a crop using an unmanned aerial vehicle (UAV) includes operating the UAV at an elevation above a ground surface of a field and collecting first data that indicates an elevation of the UAV with a barometric pressure based altimeter of the UAV. Second data is collected with a SONAR sensor of the UAV that indicates a distance to a nearest object on the ground surface. The SONAR sensor has a SONAR sensor range and the elevation above the ground surface is less than the SONAR sensor range. The method further includes receiving the first data and the second data on a processor, and determining a height of the nearest object above the ground surface with the processor based on the first data and second data. Output data that indicates the height of the nearest object is presented on a display.

A measurement system comprising a plurality of High-Altitude Pseudo Satellites (HAPS), comprising fixed wing HAPS, having a span loaded fixed wing, an aspect ratio greater than 15 and wing loading less than 6 kg/m2, and/or lighter than air HAPS, each HAPS carrying a plurality of lightweight dropsondes, each dropsonde including sensors and a transmitter, where the plurality of high-altitude pseudo satellites located in a geographical array over at least part an area of the earth. The dropsondes are deployed from the HAPS at predetermined times, such that the deployed dropsondes gathering sensed data after deployment, and the sensed data transmitted to the HAPS.

Analyte survey systems (100) and related techniques are provided to improve the operation of handheld or unmanned mobile sensor or survey platforms. An analyte survey system includes a logic device (112) configured to communicate with a communication module (164) and a sensor assembly (166) of a modular sensor core (160), where the communication module is configured to establish a wireless communication link with a base station (130) associated with the modular sensor core and/or a mobile sensor platform (110) and the sensor assembly is configured to provide analyte sensor data as the modular sensor core is maneuvered within a survey area.

Methodologies, systems, and computer-readable media are provided for generating a dynamic 3D communication map. Data is collected from a number of autonomous drones as they navigate through a particular area. The autonomous drones can collect environmental data, location data, signal strength data, signal usability data, etc. and transmit that data back to a computing system. The computing system analyzes the data received from the autonomous drones and generates a dynamic 3D communication map that indicates the signal strength and/or the signal usability of various wireless communication signals as a function of time and other variables.

Provided according to one embodiment of the present disclosure is a real-time odor tracking system using an ultralight flight device, the system comprising: an ultralight flight device which measures odor information while moving in the air; and a server which analyzes and manages information on odor generated from a specific point, on the basis of the odor information collected from the ultralight flight device.