20240020775. SYSTEMS AND METHODS FOR ECOSYSTEM CREDIT RECOMMENDATIONS simplified abstract (Indigo Ag, Inc.)

SYSTEMS AND METHODS FOR ECOSYSTEM CREDIT RECOMMENDATIONS

Organization Name

Indigo Ag, Inc.

Inventor(s)

Eleanor Elizabeth Campbell of Carbondale CO (US)

Jacob S. Mcdonald of Reading MA (US)

Aaron J. Goodman of Cambridge MA (US)

Michael J. Salib of Cambridge MA (US)

Elisabeth F. Baldo of Cambridge MA (US)

Keith F. Ma of Cambridge MA (US)

Daniel Michael Stack of Marlborough MA (US)

Erich J. Treischman of Concord MA (US)

Melissa Motew of Madison WI (US)

Samuel J. Peters of Jamaica Plain MA (US)

Christopher K. Black of Goleta CA (US)

Ram B. Gurung of Fort Collins CO (US)

Charles D. Brummitt of Seattle WA (US)

Brian D. Segal of Washington DC (US)

David P. Smart of Andover MA (US)

Ashok A. Kumar of Malden MA (US)

Barclay Rowland Rogers of Memphis TN (US)

Maria Belousova of Milford CT (US)

Jyoti Shankar of Jersey City NJ (US)

Christopher Mark Harbourt of Saint Joseph IL (US)

Ronald W. Hovsepian of Boston MA (US)

Amit Menipaz of Newton MA (US)

Joseph Weeks of St. Petersburg FL (US)

Samantha Horvath of Champaign IL (US)

SYSTEMS AND METHODS FOR ECOSYSTEM CREDIT RECOMMENDATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240020775 titled 'SYSTEMS AND METHODS FOR ECOSYSTEM CREDIT RECOMMENDATIONS

Simplified Explanation

The patent application describes systems, methods, and computer program products for recommending farming practices based on modelled outcomes. The application explains that field data and management event data are received. For each management event, a management event boundary is received, and management zones are determined based on these boundaries. Ecosystem attribute quantification methods are applied to each management zone to generate ecosystem attributes. One or more ecosystem attributes are selected for each management zone, and an ecosystem credit token is generated for each selected attribute. The ecosystem credit token is associated with a quantity of raw agricultural product.

• The patent application proposes a system for recommending farming practices based on modelled outcomes.
• The system receives field data and management event data.
• For each management event, a management event boundary is received.
• Management zones are determined based on the management event boundaries.
• Ecosystem attribute quantification methods are applied to each management zone.
• Ecosystem attributes of the management zones are generated.
• One or more ecosystem attributes are selected for each management zone.
• An ecosystem credit token is generated for each selected ecosystem attribute.
• The ecosystem credit token is associated with a quantity of raw agricultural product.

Potential applications of this technology:

• Precision agriculture: The system can be used to recommend specific farming practices for different management zones, optimizing resource allocation and improving crop yield.
• Environmental conservation: By considering ecosystem attributes, the system can help farmers implement practices that promote biodiversity and protect natural resources.
• Sustainable farming: The generated ecosystem credit tokens can be used to incentivize farmers to adopt environmentally friendly practices and reduce their ecological footprint.

Problems solved by this technology:

• Inefficient resource allocation: The system helps farmers determine the most suitable farming practices for different areas of their fields, optimizing the use of resources such as water, fertilizers, and pesticides.
• Lack of environmental consideration: By incorporating ecosystem attributes, the system ensures that farming practices take into account the impact on the environment and promote sustainable agriculture.
• Incentivizing sustainable practices: The ecosystem credit tokens provide a tangible reward for farmers who adopt environmentally friendly practices, encouraging the adoption of sustainable farming methods.

Benefits of this technology:

• Increased crop yield: By recommending optimized farming practices, the system can help farmers achieve higher crop yields and improve overall productivity.
• Environmental conservation: The system promotes the adoption of practices that protect the environment, preserve biodiversity, and reduce the negative impact of agriculture on ecosystems.
• Economic incentives: The ecosystem credit tokens provide a financial incentive for farmers to implement sustainable practices, potentially leading to cost savings and increased profitability.

Original Abstract Submitted

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.