Drone-based payload management
A drone-based payload management system includes at least one drone and a drone controller, the drone(s) having first and second payload bays configured to store first and second payloads, respectively. The drone controller may be coupled with the payload bays and may comprise at least one processor and at least one computer readable memory. The memory(ies) may store software instructions executable by the processor(s) to perform operations including obtaining a location of the drone(s) while the drone(s) is deployed, determining a ground attribute value of a ground surface associated with the location, deriving, based on the ground attribute value, a payload ratio of a first amount of the first payload relative to a second amount of the second payload, and causing the first and second payload bays to release the first amount of the first payload and the second amount of the second payload respectively according to the payload ratio.
1. A drone-based payload management system comprising:
at least one drone, the at least one drone having a first payload bay and a second payload bay, wherein the first payload bay is configured to store a first payload and the second payload bay is configured to store a second payload; and
a drone controller coupled with the first and second payload bays and comprising at least one processor and at least one computer readable memory, the at least one computer readable memory storing software instructions executable by the at least one processor to perform operations comprising:
obtaining a location of the at least one drone while the at least one drone is deployed;
determining a ground attribute value of a ground surface associated with the location;
deriving, based on the ground attribute value, a payload ratio of a first amount of the first payload relative to a second amount of the second payload;
causing the first and second payload bays to release the first amount of the first payload and the second amount of the second payload respectively according to the payload ratio; and,
after the first and second payload bays have released at least a portion of the first and second amounts, determining a dispersion of one or both of the first and second payloads on the ground surface, the dispersion being an area of actual payload delivery on the ground surface where the one or both of the first and second payloads has been delivered, the dispersion being determined using one or more cameras.
2. The system of claim 1 , wherein the ground attribute value adheres to a ground attribute namespace or ontology.
3. The system of claim 1 , wherein the ground attribute value quantifies one or more attributes selected from the group consisting of: a chemical attribute, an elevation attribute, a slope attribute, a physical attribute, an optical attribute, and a geographical attribute.
4. The system of claim 1 , wherein the at least one drone comprises at least one unmanned aerial vehicle (UAV).
5. The system of claim 1 , wherein at least one of the first amount and the second amount comprises an amount released per unit time or per unit area.
6. The system of claim 1 , wherein the ground attribute value is derived at least in part from an image descriptor.
7. The system of claim 1 , wherein the payload ratio is derived from the ground attribute value via one or more selected from the group consisting of: a lookup table, a function, and a machine learning model.
8. The system of claim 1 , wherein one or both of the first and second payload bays comprises a controllable payload aperture coupled with the drone controller.
9. The system of claim 1 , wherein the location comprises one or more selected from the group consisting of: a geolocation, a zip code, a geofenced area, a Schneider 2 (S2) cell, a grid location, a stationary location, a relative location, a landmark, a simultaneous localization and mapping (SLAM) location, a visual simultaneous localization and mapping (vSLAM) location, a wireless triangulation point, and a position relative to one or more beacons.
10. The system of claim 1 , wherein said obtaining comprises obtaining a location of the at least one drone while the at least one drone is in flight.
11. The system of claim 1 , wherein the first and second amounts are measured by weight.
12. The system of claim 1 , wherein the first and second amounts are measured by volume.
13. The system of claim 1 , wherein the payload ratio is in the range of 1:100 to 1:1.
14. The system of claim 1 , wherein one or both of the first and second payloads comprises seeds.
15. The system of claim 1 , wherein one or both of the first and second payloads comprises spores.
16. The system of claim 1 , wherein one or both of the first and second payloads comprises one or more payloads selected from the group consisting of: fertilizers, insecticides, liquids, powders, slurries, conditioners, worms, biologics, and Mycorrhizal fungi.
17. The system of claim 1 , wherein the second payload comprises calcium carbonate.
18. The system of claim 17 , wherein the second payload comprises oolitic aragonite.
19. The system of claim 1 , further comprising one or more sensors,
wherein the ground attribute value is determined based on an output of at least one sensor from among the one or more sensors.
20. The system of claim 19 , wherein the one or more sensors includes one or more types of sensors selected from the group consisting of: a GPS sensor, an accelerometer, a LIDAR sensor, a RADAR sensor, a camera, a thermometer, a magnetometer, a gyroscope, an inertial measurement unit (IMU), and a spectrometer.
21. The system of claim 19 , wherein the one or more sensors is provided in the at least one drone.
22. The system of claim 1 , wherein the ground attribute value is determined in real-time from a digital representation of the ground surface.
23. The system of claim 1 , wherein the operations further comprise causing one or both of the first and second payload bays to conduct a test release of a portion of the first and second amounts prior to the release of a remainder of the first amount and the second amount, the dispersion being determined based on the test release.
24. The system of claim 1 , wherein said determining the dispersion includes measuring a time from release to when one or both of the first and second payloads reaches the ground.
25. The system of claim 1 , wherein the operations further comprise adjusting release of one or both of the first and second payloads based on the dispersion.
26. The system of claim 1 , wherein the at least one drone further has a third payload bay.
27. The system of claim 1 , wherein the at least one drone comprises a fleet of two or more drones.
28. The system of claim 1 , wherein the first payload bay and the second payload bay are included in the same drone from among the at least one drone.
29. The system of claim 1 , wherein the at least one drone comprises at least one autonomous drone.
30. The system of claim 1 , wherein the ground attribute value is determined at least in part by reference to a previously characterized attribute of the ground surface associated with the location.
31. A drone-based payload management method comprising:
obtaining a location of at least one drone while the at least one drone is deployed, the at least one drone having a first payload bay and a second payload bay, wherein the first payload bay is configured to store a first payload and the second payload bay is configured to store a second payload;
determining a ground attribute value of a ground surface associated with the location;
deriving, based on the ground attribute value, a payload ratio of a first amount of the first payload relative to a second amount of the second payload;
causing the first and second payload bays to release the first amount of the first payload and the second amount of the second payload respectively according to the payload ratio; and
after the first and second payload bays have released at least a portion of the first and second amounts, determining a dispersion of one or both of the first and second payloads on the ground surface, the dispersion being an area of actual payload delivery on the ground surface where the one or both of the first and second payloads has been delivered, the dispersion being determined using one or more cameras.
32. A computer program product comprising one or more non-transitory program storage media on which are stored instructions executable by one or more processors or programmable circuits to perform operations for drone-based payload management, the operations comprising:
obtaining a location of at least one drone while the at least one drone is deployed, the at least one drone having a first payload bay and a second payload bay, wherein the first payload bay is configured to store a first payload and the second payload bay is configured to store a second payload;
determining a ground attribute value of a ground surface associated with the location;
deriving, based on the ground attribute value, a payload ratio of a first amount of the first payload relative to a second amount of the second payload;
causing the first and second payload bays to release the first amount of the first payload and the second amount of the second payload respectively according to the payload ratio; and
after the first and second payload bays have released at least a portion of the first and second amounts, determining a dispersion of one or both of the first and second payloads on the ground surface, the dispersion being an area of actual payload delivery on the ground surface where the one or both of the first and second payloads has been delivered, the dispersion being determined using one or more cameras.