IP Library Granted Patent US 10,712,261
Granted Patent B2
US 10,712,261 · App. 16/544,049 · Granted Jul 14, 2020

Systems and methods for determination and application of nitrogen fertilizer using crop canopy measurements

Inventor: Lawrence Adam Wolf (Princeton, NJ)
Assignee: Arable Labs, Inc.
G01N21/255A01B79/005A01C21/007G01N21/35G01N33/025G01N2021/1797G01N2021/3129G01N2021/8466
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,712,261
App. No.
16/544,049
Granted
Jul 14, 2020
Kind
B2
Abstract

Fertilizer application is challenged by inadequate constraints on key factors that determine how much to apply, and when to apply. Systems and methods for are disclosed that can make use of prior information (e.g. from field trials), time series data from a radiation measuring device, and episodic but spatially extensive satellite data, to constrain these uncertainties.

Claims (36)

1. A method of determining a nitrogen requirement for vegetation in a field, comprising:

determining a nitrogen level of a plant canopy of the field based on a measured reflectance received at a measuring device comprising a spectrometer measuring light in two or more wavelengths;

determining a biomass of the plant canopy of the field based on the measured reflectance; and

determining a nitrogen requirement of the vegetation based on the determined nitrogen level of the plant canopy and the biomass of the plant canopy.

2. The method of claim 1 , wherein the nitrogen level of the canopy is estimated based on a spectral reflectance using a first vegetation index using a first and second wavelengths and an estimate of biomass, and

wherein the biomass of the plant canopy is estimated based on the spectral reflectance using a second vegetation index using at least a third wavelength and an estimate of the nitrogen level of the canopy.

3. The method of claim 2 , wherein the spectral reflectance is based on reflectance data collected from an airborne imager.

4. The method of claim 3 , further comprising applying a correction factor to reflectance data.

5. The method of claim 4 , wherein the correction factor is based on the reflectance data collected from the geographical coordinates of the radiation measuring device.

6. The method of claim 4 , wherein the correction factor is based on a downwelling light spectrum collected within a scene of the airborne imager in comparison to a clear-sky spectrum.

7. The method of claim 3 , wherein the airborne imager is a satellite.

8. The method of claim 2 , where the first vegetation index is determined based solely upwelling radiation.

9. The method of claim 2 , where the first vegetation index is determined based on a ratio of upwelling radiation to downwelling radiation.

10. The method of claim 2 , further comprising

estimating extraterrestrial radiation, wherein the measuring device comprises a pyranometer and a global positioning system (GPS); and

using data collected by the pyranometer and the GPS, estimating estimate solar angle and a fraction of actual radiation to potential radiation.

11. The method of claim 10 , further comprising correcting a reflectance estimate for illumination conditions based on the estimated estimate solar angle and the fraction of actual radiation to potential radiation.

12. The method of claim 1 , further comprising:

estimating a rate of plant nitrogen uptake from the soil based on sequential measurements.

13. The method of claim 1 , further comprising:

estimating a rate of nitrogen translocation from leaves to other organs.

14. The method of claim 13 , further comprising:

estimating any of nitrogen content and protein content of a harvested biomass using the estimated rate of nitrogen translocation.

15. A system, comprising:

a measuring device, comprising:

a spectrometer configured to measure two or more wavelengths of shortwave radiation;

a control unit electrically coupled to the spectrometer, wherein the control unit is configured to:

determine a nitrogen level of a plant canopy of the field based on a measured reflectance received at the measuring device;

determine a biomass of the plant canopy of the field based on the measured reflectance; and

determine a nitrogen requirement of the vegetation based on the determined nitrogen level of the plant canopy and the biomass of the plant canopy.

16. The system of claim 15 , wherein the nitrogen level of the canopy is estimated based on a spectral reflectance using a first vegetation index using a first and second wavelengths and an estimate of biomass, and

wherein the biomass of the plant canopy is estimated based on the spectral reflectance using a second vegetation index using at least a third wavelength and an estimate of the nitrogen level of the canopy.

17. The system of claim 16 , wherein the spectral reflectance is based on reflectance data collected from an airborne imager and wherein the control unit is configured to apply a correction factor to reflectance data, and wherein the correction factor is based on the reflectance data collected from the geographical coordinates of the radiation measuring device.

18. The system of claim 17 , wherein the correction factor is based on a downwelling light spectrum collected within a scene of the airborne imager in comparison to a clear-sky spectrum.

19. The system of claim 17 , wherein the control unit is configured to estimate a rate of plant nitrogen uptake from the soil based on sequential measurements.

20. The system of claim 19 , wherein the control unit is configured to estimate any of nitrogen content and protein content of a harvested biomass using the estimated rate of nitrogen translocation.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 13, 2019
From: WOLF, LAWRENCE ADAM
To: ARABLE LABS, INC.
Reel/Frame 051272/0996 →
Continuity (3)
Continuation 16212105 · Dec 6, 2018
Provisional Application 62595111 · Dec 6, 2017
Related Publication 20190369009A1 · Dec 5, 2019