Method and system for generating augmented reality agricultural presentations

1. A method for generating an augmented reality presentation of a region-of-interest, comprising:

capturing raw image data of the region-of-interest using a first sensor mounted in an unmanned aerial vehicle flown over the region-of-interest;

transferring the raw image data to a server from the unmanned aerial vehicle;

using a processor, generating geo-referenced data from the raw image data at the server;

transferring the geo-referenced data to a wireless device;

capturing live image data of the region-of-interest using a second sensor mounted in the wireless device; and,

overlaying the geo-referenced data on the live image data to generate the augmented reality presentation at the wireless device.

2. The method of claim 1 and further comprising presenting the augmented reality presentation on a display of the wireless device.

3. The method of claim 1 wherein the first and second sensors are first and second cameras, respectively.

4. The method of claim 1 wherein the region-of-interest is one of a farm field and located in a farm field.

5. A method comprising:

accessing, by a mobile computing device comprising a processor device, geo-referenced imagery of a region of a world, the geo-referenced imagery corresponding to specific locations of the region of the world;

receiving, by a camera of the mobile computing device, real-time real-world imagery of a first scene of a portion of the region of the world that is within a field of view (FOV) of the camera;

determining, by the mobile computing device, a first subset of the geo-referenced imagery that corresponds to the first scene; and

presenting the first subset of the geo-referenced imagery that corresponds to the first scene overlaid on top of the real-world imagery of the first scene on a display device of the mobile computing device.

6. The method of claim 5 wherein the first subset of the geo-referenced imagery comprises textual imagery that refers to specific locations within the first scene.

7. The method of claim 5 wherein the geo-referenced imagery comprises a normalized difference vegetation index (“NDVI”) imagery.

8. The method of claim 5 wherein determining the first subset of the geo-referenced imagery that corresponds to the first scene further comprises:

determining an orientation and location of the FOV of the camera with respect to the world; and

determining the first subset of the geo-referenced imagery that corresponds to the first scene based on the orientation and location of the FOV of the camera with respect to the world.

9. The method of claim 5 wherein the first subset of the geo-referenced imagery comprises imagery comprising colors, each different color corresponding to a health of vegetation in the first scene, and each different color overlaying a portion of the first scene having vegetation with the health that corresponds to the different color.

10. The method of claim 5 further comprising:

determining, by the mobile computing device, that the camera is receiving real-time real-world imagery of a second scene of the portion of the region of the world;

determining, by the mobile computing device, a second subset of the geo-referenced imagery that corresponds to the second scene; and

presenting the second subset of the geo-referenced imagery that corresponds to the second scene overlaid on top of the real-world imagery of the second scene on the display device of the mobile computing device.

11. The method of claim 10 wherein determining, by the mobile computing device, that the camera is receiving the real-time real-world imagery of the second scene of the world further comprises determining that an orientation of the camera has moved from a first orientation to a second orientation.

12. A mobile computing device comprising:

a camera having a field of view (FOV), the camera configured to receive real-time real-world imagery of a first scene of a portion of a region of a world within the FOV of the camera;

a display device; and

a processing device coupled to the camera and the display device, the processing device configured to:

access geo-referenced imagery of the region of the world, the geo-referenced imagery comprising imagery that corresponds to specific locations of the region of the world;

determine a first subset of the geo-referenced imagery that corresponds to the first scene; and

present the first subset of the geo-referenced imagery that corresponds to the first scene overlaid on top of the real-time real-world imagery of the first scene on the display device.

13. The mobile computing device of claim 12 wherein the first subset of the geo-referenced imagery comprises textual imagery that refers to specific locations within the first scene.

14. The mobile computing device of claim 12 , wherein to determine the first subset of the geo-referenced imagery that corresponds to the first scene, the processor device is further configured to:

determine an orientation and location of the FOV of the camera with respect to the world; and

determine the first subset of the geo-referenced imagery that corresponds to the first scene based on the orientation and location of the FOV of the camera with respect to the world.

15. The mobile computing device of claim 12 wherein the first subset of the geo-referenced imagery comprises imagery comprising colors, each different color corresponding to a health of vegetation in the first scene, and each different color overlaying a portion of the first scene having vegetation with the health that corresponds to the different color.

16. The mobile computing device of claim 12 wherein the processor device is further configured to:

determine that the camera is receiving real-time real-world imagery of a second scene of the world;

determine a second subset of the geo-referenced imagery that corresponds to the second scene; and

present the second subset of the geo-referenced imagery that corresponds to the second scene overlaid on top of the real-time real-world imagery of the second scene on the display device.

17. The mobile computing device of claim 16 wherein to determine that the camera is receiving the real-time real-world imagery of the second scene of the world, the processor device is further configured to determine that an orientation of the camera has moved from a first orientation to a second orientation.

18. A computer program product stored on a non-transitory computer-readable storage medium and including instructions configured to cause a processor device to:

access imagery received in real-time by a camera, the imagery comprising real-world imagery of a first scene of a portion of a region of a world within a field of view (FOV) of the camera;

access geo-referenced imagery of the region of the world, the geo-referenced imagery comprising imagery that corresponds to specific locations of the region of the world;

determine a first subset of the geo-referenced imagery that corresponds to the first scene; and

present the first subset of the geo-referenced imagery that corresponds to the first scene overlaid on top of the real-world imagery of the first scene on a display device of a mobile computing device.