IP Library › Granted Patent US 11,373,399
Granted Patent B2
US 11,373,399 · App. 16/523,865 · Granted Jun 28, 2022

Method of crop analysis using drone with flying and driving capability

Inventors: Jacob Paul Lindberg (San Luis Obispo, CA); Kaveh Nemati (San Luis Obispo, CA)
Assignees: Hall Enterprise LLC; Jacob Paul Lindberg; Kaveh Nemati
G06V20/188B64C39/024G06Q50/02B64C2201/127G01J2003/2826G06T2207/10004G06T2207/30188
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Quick Facts
Patent No.
US 11,373,399
App. No.
16/523,865
Filed
Jul 26, 2019
Granted
Jun 28, 2022
Kind
B2
Art Unit
2668
USPC
382/103
Abstract

There is provided method of analyzing a field of crops using a drone. The method initially includes remotely controlling the drone to fly the drone to adjacent the field of crops. The method further includes remotely controlling the drone to land the drone adjacent the crops. The method further includes remotely controlling the drone to drive the drone on the ground along the crops. The method further includes capturing ground-based images of the crops at an upward view angle using a multispectral camera on-board the drone.

Claims (39)

1. A method of analyzing a field of crops using a drone, the method comprising the steps of:

a) remotely controlling the drone to fly the drone adjacent the field of crops;

b) remotely controlling the drone to land the drone adjacent the crops;

c) remotely controlling the drone to drive the drone on the ground along the crops; and

d) capturing ground-based images of the crops at an upward view angle using a multispectral camera on-board the drone.

2. The method of claim 1 wherein step a) further includes capturing flight images of the field of crops, while flying, using the multispectral camera.

3. The method of claim 2 wherein the captured flight images are based upon visible light images.

4. The method of claim 2 wherein the captured flight images are based upon infrared images.

5. The method of claim 2 wherein step a) further includes producing a Normalized Difference Vegetation Index (NDVI) map using the captured flight images.

6. The method of claim 5 wherein step b) further includes remotely controlling the drone to land the drone adjacent the crops at a location based upon the NDVI map.

7. The method of claim 2 wherein step a) further includes transmitting the captured flight images.

8. The method of claim 1 wherein step d) includes rotating the multispectral camera to an upward view angle.

9. The method of claim 1 wherein the captured ground-based images are based upon visible light images.

10. The method of claim 1 wherein the captured ground-based images are based upon thermal images.

11. The method of claim 1 wherein the captured ground-based images are based upon visible light images and thermal images.

12. The method of claim 1 further includes using the captured ground-based images to identify crops.

13. The method of claim 12 further includes using the captured ground-based images to determine a temperature value of the identified crops.

14. The method of claim 1 further includes

e) sensing a humidity value of the crops.

15. The method of claim 14 wherein step e) includes sensing the humidity value of the crops using a hygrometer on-board the drone.

16. The method of claim 1 wherein the crops are arranged in rows, step c) includes controlling the drone to drive the drone on the ground along a row of the crops.

17. The method of claim 16 wherein step d) wherein the captured ground-based images include video images.

18. The method of claim 1 further includes the step of:

f) sensing an environmental characteristic of the ground adjacent the crops by deploying a ground probe into the ground from on-board the drone.

19. The method of claim 18 wherein the environmental characteristic is a pH value.

20. The method of claim 18 wherein the environmental characteristic is a moisture value.

21. A method of analyzing a field of crops using a drone, the method comprising the steps of:

a) remotely flying the drone to fly the drone adjacent the field of crops;

b) capturing flight images of the field of crops, while flying, using a multispectral camera;

c) remotely landing the drone adjacent the crops;

d) remotely driving the drone on the ground along the crops;

e) rotating the multispectral camera to an upward view angle; and

f) capturing ground-based images of the crops at an upward view angle using the multispectral camera on-board the drone.

22. The method of claim 21 wherein the captured flight images are based upon visible light images and infrared images.

23. The method of claim 21 wherein the captured ground-based images are based upon visible light images and thermal images.

24. The method of claim 21 further includes the step of:

g) sensing an environmental characteristic of the ground adjacent the crops by deploying a ground probe into the ground from on-board the drone.

25. The method of claim 24 wherein the environmental characteristic is a pH value.

26. The method of claim 24 wherein the environmental characteristic is a moisture value.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 18, 2020
From: SCIENTIFIC CAL AG, INC.
To: LINDBERG, JACOB PAUL; NEMATI, KAVEH; HALL ENTERPRISE LLC
Reel/Frame 053526/0652 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 1, 2019
From: NEMATI, KAVEH; LINDBERG, JACOB PAUL
To: SCIENTIFIC CAL AG, INC.
Reel/Frame 049929/0627 →
Continuity (2)
Provisional Application 62703783 · Jul 26, 2018
Related Publication 20200034616A1 · Jan 30, 2020
Cited By (1)
US 12,687,860