Systems and methods for ecosystem credit recommendations

US12293423B2 · kind B2 · utility

Assignee

• Indigo Ag, Inc. · US

Inventors

• Eleanor Elizabeth Campbell · Carbondale, US
• Jacob S. McDonald · Reading, US
• Aaron J. Goodman · Cambridge, US
• Michael J. Salib · Cambridge, US
• Elisabeth F. Baldo · Cambridge, US
• Keith F. Ma · Cambridge, US
• Daniel Michael Stack · Marlborough, US
• Erich J. Treischman · Concord, US
• Melissa Motew · Madison, US
• Samuel J. Peters · Brookline, US
• Christopher K. Black · Goleta, US
• Ram B. Gurung · Fort Collins, US
• Charles David Brummitt · Seattle, US
• Brian D. Segal · Washington, US
• David P. Smart · Andover, US
• Ashok Kumar · Malden, US
• Barclay Rowland Rogers · San Francisco, US
• Maria Belousova · Seattle, US
• Jyoti Shankar · Jersey City, US
• Christopher Mark Harbourt · Saint Joseph, US
• Ronald W. Hovsepian · Boston, US
• Amit R. Menipaz · Newton, US
• Joseph Weeks · St. Petersburg, US
• Samantha Horvath · Champaign, US

Key dates

• Filing date: Sep 25, 2023
• Grant date: May 6, 2025
• Expiry date: Sep 25, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q2220/00
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Systems, methods, and computer program products for recommending farming practices based on modelled outcomes are provided. In various embodiments, field data comprising geospatial boundaries of one or more field are received. Management event data comprising one or more management events within the one or more fields is received. For each management event, a management event boundary defining geospatial boundaries is received, and one or more management zones is determined based on the management event boundaries. One or more ecosystem attribute quantification method is applied to each of the one or more management zones to generate one or more ecosystem attributes of the one or more management zones. One or more ecosystem attribute is selected for each management zone. An ecosystem credit token or portion thereof is generated for each selected ecosystem attribute. The ecosystem credit token is associated with a quantity of raw agricultural product.