Abstract: In some embodiments, unmanned aerial task systems are provided that include a first unmanned aerial vehicle (UAV) comprising: a UAV control circuit; a motor; and a propulsion system coupled with the motor and configured to enable the first UAV to move itself; and wherein the UAV control circuit when implementing code stored in memory is configured to identify, based at least in part on a first task performed using a first tool system temporarily coupled with the first UAV, a second task to be performed by the first UAV and to identify a different second tool system to be used to perform the second task.

Abstract: In some embodiments, unmanned aerial task systems are provided that comprise: multiple unmanned aerial vehicles (UAV) each comprising: a UAV control circuit; a motor; and a propulsion system coupled with the motor and configured to enable UAV to move itself; and wherein a first UAV control circuit of a first UAV of the multiple UAVs, when implementing code stored in memory, is configured to identify, based at least in part on a first task performed using a first tool system temporarily coupled with the first UAV, a set of at least one task to be cooperatively performed by the first UAV and at least a second UAV of the multiple UAVs.

Abstract: Systems, apparatuses, and methods are provided herein for unmanned flight optimization. A system for unmanned flight comprises a set of motors configured to provide locomotion to an unmanned aerial vehicle, a set of wings coupled to a body of the unmanned aerial vehicle via an actuator and configured to move relative to the body of the unmanned aerial vehicle, a sensor system on the unmanned aerial vehicle, and a control circuit. The control circuit being configured to: retrieve a task profile for a task assigned to the unmanned aerial vehicle, cause the set of motors to lift the unmanned aerial vehicle, detect condition parameters based on the sensor system, determine a position for the set of wings based on the task profile and the condition parameters, and cause the actuator to move the set of wings to the wing position while the unmanned aerial vehicle is in flight.

Abstract: Some embodiments provide an aerial monitoring system to monitor a geographic area, comprising: a unmanned aerial vehicle (UAV) comprising: a plurality of lift motors to drive a propeller; a substructural support supporting the lift motors and propellers; a UAV control circuit configured to control the operation of the lift motors; a rechargeable electrical power source that supplies electrical power to the UAV control circuit and the plurality of lift motors; a recharge control circuit; and a modifiable support system cooperated with the substructural support and supporting a set of photovoltaic cells electrically coupled with the rechargeable power source and configured to supply electrical power to the rechargeable power source, wherein the recharge control circuit is configured to control a modification of the modifiable support system to cause a physical modification of at least an orientation of the modifiable support system relative to the substructural support.

Abstract: In some embodiments, unmanned aerial task systems are provided that include a plurality of unmanned aerial vehicles (UAV) each comprising: a UAV control circuit; a motor; propulsion system; and a universal coupler configured to interchangeably couple with and decouple from one of multiple different tool systems each having different functions to be put into use while carried by a UAV, wherein a coupling system of the universal coupler is configured to secure a tool system with the UAV and enable a communication connection between a communication bus and the tool system, and wherein the multiple different tool systems comprise at least a package securing tool system configured to retain and enable transport of a package while being delivered, and a sensor tool system configured to sense a condition and communicate sensor data of the sensed condition to the UAV control circuit over the communication bus.

Abstract: Systems, apparatuses and methods are provided herein for unmanned flight optimization. A system for unmanned flight optimization comprises a flight system configured to provide locomotion to an unmanned aerial vehicle, a sensor system on the unmanned aerial vehicle, and a control circuit coupled to the flight system and the sensor system. The control circuit being configured to: retrieve a task profile for a task assigned to the unmanned aerial vehicle, detect condition parameters of the unmanned aerial vehicle based on the sensor system, determine whether to station the unmanned aerial vehicle based on the task profile and the condition parameters, and deactivate the flight system of the unmanned aerial vehicle while the unmanned aerial vehicle performs the task.

Abstract: In some embodiments, unmanned aerial task systems are provided that comprise multiple unmanned aerial vehicles (UAV) each comprising: a UAV control circuit; a motor; and a propulsion system coupled with the motor and configured to enable the respective UAVs to move themselves; and wherein a first UAV control circuit of a first UAV of the multiple UAVs is configured to identify a second UAV carrying a first tool system configured to perform a first function, cause a notification to be communicated to the second UAV directing the second UAV to transfer the first tool system to the first UAV, and direct a first propulsion system of the first UAV to couple with the first tool system being transferred from the second UAV.

Abstract: In some embodiments, methods and systems of identifying at least one pest based on crop damage detection in a crop-containing area include an unmanned vehicle including at least one sensor configured to detect at least one type of pest damage on at least one crop in the crop-containing area and to capture pest damage data. An electronic database includes pest damage identity data associated with one or more crop-damaging pests, and a computing device communicates with the unmanned vehicle and the electronic database via a network. The unmanned vehicle transmits the captured pest damage data via the network to the computing device and, in response to receipt of the captured pest damage data from the unmanned vehicle, the computing device accesses the pest damage identity data on the electronic database to determine an identity of one or more pests responsible for the detected type of pest crop damage.

Abstract: In some embodiments, methods and systems of dispensing an insecticide to defend a crop-containing area against crop-damaging pests include an unmanned vehicle having a sensor that detects a crop-damaging pest in the crop-containing area and captures pest detection data, and an insecticide output device including at least one insecticide directed at the pest. The unmanned vehicle transmits the captured pest detection data via the network to the computing device and, in response to receipt of the captured pest detection data via the network from the unmanned vehicle, the computing device accesses an electronic database to determine an identity of the at least one pest. Based on the determined identity of the crop-damaging pest, the computing device transmits a control signal to the unmanned vehicle to cause the insecticide output device of the unmanned vehicle to dispense one or more insecticides specific to the identified crop-damaging pest.

Abstract: In some embodiments, methods and systems of identifying at least one pest in a crop-containing area include an unmanned vehicle including a visible light video camera configured to detect a pest in the crop-containing area and to capture first pest detection data and an infrared video camera configured to detect a pest in the crop-containing area and to capture second pest detection data.

Abstract: In some embodiments, methods and systems of defending a crop-containing area against crop-damaging pests include an unmanned aerial vehicle including a sensor that detects one or more pests in the crop-containing area and an output device configured to eliminate the pest from the crop-containing area. One or more docking stations configured to accommodate the UAV are provided. A computing device configured to communicate with the UAV and the docking station over a network is provided. The UAV is configured to send pest detection data captured by a sensor of the UAV while patrolling the crop-containing area. In return, the computing device is configured to send a signal to the UAV to indicate instructions to the UAV as to how to move or activate the output device in order to eliminate the detected pest from the crop-containing area.

Abstract: In some embodiments, methods and systems of pollinating crops include one or more unmanned vehicles including a pollen applicator configured to collect pollen from a flower of a first crop and to apply the pollen collected from the flower of the first crop onto a flower of a second crop and a sensor configured to detect presence of the pollen applied to the flower of the second crop by the pollen applicator to verify that the pollen collected from the flower of the first crop by the pollen applicator was successfully applied by the pollen applicator onto the flower of the second crop.

Abstract: In some embodiments, methods and systems of pollinating crops in a crop-containing area include at least one unmanned vehicle having a receptacle including pollen, a pollen dispenser configured to dispense the pollen from the receptacle onto the crops, and a sensor configured to detect presence of the pollen dispensed from the at least one pollen dispenser on the crops and interpret the presence of the pollen dispensed from the at least one pollen dispenser on the crops as a verification that the pollen dispensed from the at least one pollen dispenser was successfully applied to the crops.