US 12,293,423 B2
Systems and methods for ecosystem credit recommendations
Eleanor Elizabeth Campbell, Carbondale, CO (US); Jacob S. McDonald, Reading, MA (US); Aaron J. Goodman, Cambridge, MA (US); Michael J. Salib, Cambridge, MA (US); Elisabeth F. Baldo, Cambridge, MA (US); Keith F. Ma, Cambridge, MA (US); Daniel Michael Stack, Marlborough, MA (US); Erich J. Treischman, Concord, MA (US); Melissa Motew, Madison, WI (US); Samuel J. Peters, Jamaica Plain, MA (US); Christopher K. Black, Goleta, CA (US); Ram B. Gurung, Fort Collins, CO (US); Charles D. Brummitt, Seattle, WA (US); Brian D. Segal, Washington, DC (US); David P. Smart, Andover, MA (US); Ashok A. Kumar, Malden, MA (US); Barclay Rowland Rogers, Memphis, TN (US); Maria Belousova, Milford, CT (US); Jyoti Shankar, Jersey City, NJ (US); Christopher Mark Harbourt, Saint Joseph, IL (US); Ronald W. Hovsepian, Boston, MA (US); Amit Menipaz, Newton, MA (US); Joseph Weeks, St. Petersburg, FL (US); and Samantha Horvath, Champaign, IL (US)
Assigned to Indigo Ag, Inc., Charlestown, MA (US)
Filed by Indigo Ag, Inc., Charlestown, MA (US)
Filed on Sep. 25, 2023, as Appl. No. 18/372,287.
Application 18/372,287 is a division of application No. 18/166,640, filed on Feb. 9, 2023, granted, now 11,810,021.
Application 18/166,640 is a division of application No. 17/900,428, filed on Aug. 31, 2022, granted, now 11,880,894.
Claims priority of provisional application 63/345,461, filed on May 25, 2022.
Claims priority of provisional application 63/318,993, filed on Mar. 11, 2022.
Claims priority of provisional application 63/304,431, filed on Jan. 28, 2022.
Claims priority of provisional application 63/280,074, filed on Nov. 16, 2021.
Claims priority of provisional application 63/239,150, filed on Aug. 31, 2021.
Prior Publication US 2024/0020775 A1, Jan. 18, 2024
Int. Cl. G06Q 50/02 (2024.01); G06F 16/29 (2019.01); G06Q 30/018 (2023.01)
CPC G06Q 50/02 (2013.01) [G06F 16/29 (2019.01); G06Q 30/018 (2013.01); G06Q 2220/00 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A method comprising:
accessing, by a processing unit, remote sensing data for one or more fields;
receiving, by the processing unit, field data comprising geospatial boundaries of the one or more fields;
receiving, by the processing unit, management event data comprising one or more management events located within the one or more fields, the management event data comprising remote sensing data from the one or more fields;
receiving, by the processing unit for each management event, management event boundaries defining geospatial boundaries corresponding to at least a portion of the one or more fields, the management event boundaries based in part on ecosystem event data comprising the remote sensing data for the one or more fields;
determining, by the processing unit, one or more management zones based on the management event boundaries; and
applying, by the processing unit, one or more ecosystem attribute quantification methods to each of the one or more management zones to generate one or more ecosystem attributes of the one or more management zones,
wherein at least one of the ecosystem attribute quantification methods comprises applying a machine learned model to each of the one or more management zones, the one or more management zones a data object based on the management event data generated from accessed remote sensing data,
wherein one or more ecosystem attribute is selected for each management zone,
wherein an ecosystem credit token or portion thereof is generated for each selected ecosystem attribute, and
wherein the ecosystem credit token is associated with a quantity of a raw agricultural product.