US 11,775,906 B2
Method and system for verification of carbon footprint in agricultural parcels
Jenette M. Ashtekar, Weston, MA (US); Pankaj C. Bhambhani, Malden, MA (US); Ernesto Brau, Newton, MA (US); Marie A. Coffin, Cary, NC (US); and Margaret C. Kosmala, Acton, MA (US)
Assigned to CIBO Technologies, Inc., St. Louis Park, MN (US)
Filed by CIBO Technologies, Inc., Cambridge, MA (US)
Filed on Oct. 30, 2020, as Appl. No. 17/85,091.
Prior Publication US 2022/0138649 A1, May 5, 2022
Int. Cl. G06Q 10/04 (2023.01); G06Q 10/0637 (2023.01); A01G 25/16 (2006.01); A01G 7/00 (2006.01); A01B 79/00 (2006.01)
CPC G06Q 10/0637 (2013.01) [A01B 79/00 (2013.01); A01G 7/00 (2013.01); A01G 25/16 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A method for verifying implementation and maintenance of regenerative management practices in agricultural parcels, the method comprising:
determining a regenerative carbon footprint value for a parcel, wherein said determining comprises a difference of a regenerative carbon footprint and a baseline carbon footprint, wherein the baseline carbon footprint is derived by calculating greenhouse gas emissions based on simulating crop growth under current management practices, and wherein the regenerative carbon footprint is derived by calculating greenhouse gas emissions based on simulating crop growth under one or more regenerative management practices corresponding to a regenerative practices plan proposed by a grower;
approving and publishing carbon credits that are valued according to the regenerative practices plan;
for key dates corresponding to implementation and maintenance of each of the one or more regenerative management practices, employing a processor to evaluate remotely sensed images against corresponding crop curves to determine compliance/noncompliance indicators that correspond each of the key dates, comprising:
for each key date, processing remotely sensed images for the key date, the processing comprising:
retaining the remotely sensed images for the key date that have missing data below a prescribed quality threshold, wherein the missing data is due to portions of sensed images missing or obstructed from view, and estimating the missing data in retained images by time-processing the missing data from one or more adjacent images on a corresponding one or more dates that are adjacent to the key date and that include the missing data;
combining the retained images of differing spectral bands that are relevant to an observation corresponding to the key date to generate composite vegetative indices for subparts of the parcel; and
identifying a best vegetative index image for the parcel; and
storing the compliance/noncompliance indicators within a parcel database and determining at a verification date compliance with the regenerative practices plan, wherein, if a number of compliances corresponding to the compliance/noncompliance indicators is above a threshold at the verification date, indicating that compliance with the regenerative practices plan is verified.