System for integrated utilization of data to identify, characterize, and support successful farm and land use operations

• US 7,991,754 B2
• Filed: 12/05/2006
• Issued: 08/02/2011
• Est. Priority Date: 12/05/2005
• Status: Expired due to Fees

• Current Assignee: Visual Farms, LLC
• Original Assignee: Oneimage LLC
• Inventors: Thoen, William L., Maizel, Margaret Stewart
• Primary Examiner(s): Morrison; Jay A
• Application Number:
  US12/096,167
• Publication Number:
  US 20090313215A1
• Time in Patent Office: 1,701 Days
• Field of Search: None
• US Class Current: 707/705
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals

Abstract

Computer configurations, search processors (2), software, and methods of viewing and analyzing information regarding agriculture or land use automatically located relationally-linked agronomic entities with both real (18) and virtual (8) displays. Relational linking exist through broad assessment of commonality information with fuzzy logic heuristics. Dynamic link presentation (6) can exist with congregated and hierarchical information displays (29) such as at the farm level, at a location level, at a physically aggregated parcel level with hierarchical display of farms or agronomic entity ownership, management, organization, and crop usages that afford users an unprecedented series of views into the businesses of land use, food production, and resource conservation. A meta-syntactic agronomic information generator (31) can facilitate imputed information through the integration of multiple databases (32). Predictive and application-specific configurations can allow at-a-glance understanding of agronomic organizations and agronomic decision-making to see where to most optimally devote resources for higher success or efficiency.

Claims

1. A method of automatically establishing agronomically relational information comprising the steps of:

identifying an initial agronomic target associated with an agronomic parcel or legal entity;

requesting information on said initial agronomic target;

locating at least some information on said initial agronomic target;

establishing an information set for said initial agronomic target;

automatically searching for information on at least one additional, relationally-linked agronomic land use entity;

locating at least some information on said additional, relationally-linked agronomic entity;

establishing an information set on at least one additional, relationally-linked agronomic entity; and

dynamically linking information from both said initial agronomic target and said additional, relationally-linked agronomic entity based on agronomic relationships agronomically-imputable to such data;

congregating at least some information on both said initial agronomic target and said additional, relationally-linked agronomic entity by ascertaining at least some commonality agronomic information between said initial agronomic target and said additional, relationally-linked agronomic entity;

simultaneously hierarchically displaying real and virtual land use information from said dynamically linked initial agronomic target and said dynamically linked additional, relationally-linked agronomic entity, wherein said virtual land use information presents land use information agronomically-inferred from said data.

2. A method of automatically establishing agronomically relational information as described in claim 1 wherein said step of congregating at least some information on both said initial agronomic target and said additional, relationally-linked agronomic entity comprises the step of creating meta-syntactic agronomic information from said information set for said initial agronomic target and said information set for said additional, relationally-linked agronomic entity.

3. A method of automatically establishing agronomically relational information as described in claim 2 wherein said step of creating meta-syntactic agronomic information from said information set for said initial agronomic target and said information set for said additional, relationally-linked agronomic entity comprises the step of conducting a multiple agronomic information database comparison relative to information on said initial agronomic target and information on said additional, relationally-linked agronomic entity.

4. A method of automatically establishing agronomically relational information as described in claim 3 wherein said step of conducting a multiple agronomic information database comparison relative to information on said initial agronomic target and information on said additional, relationally-linked agronomic entity comprises the step of accomplishing a comparative inconsistency check between multiple agronomic information databases.

5. A method of automatically establishing agronomically relational information as described in claim 3 wherein said step of conducting a multiple agronomic information database comparison relative to information on said initial agronomic target and information on said additional, relationally-linked agronomic entity comprises the step of accomplishing a comparative unavailability check between multiple agronomic information databases.

6. A method of automatically establishing agronomically relational information as described in claim 2 wherein said step of creating meta-syntactic agronomic information from said information set for said initial agronomic target and said information set for said additional, relationally-linked agronomic entity comprises the step of imputing a boundary for at least one of said initial agronomic target or at least one said additional, relationally-linked agronomic entity.

7. A method of automatically establishing agronomically relational information as described in claim 1 wherein said step of providing at least some hierarchical information on said initial agronomic target comprises the step of hierarchically displaying at least some information selected from a group consisting of:

acreage information,

crop information, and

conservation information.

8. A method of automatically establishing agronomically relational information as described in claim 7 wherein said step of providing at least some hierarchical information on said initial agronomic target comprises a step selected from a group consisting of:

displaying geo-spatial bar graph information,

displaying color coded geo-spatial information, and

displaying color coded geo-spatial bar graph information.

9. A method of automatically establishing agronomically relational information as described in claim 1, 7, or 8 wherein said step of automatically searching for information on at least one additional, relationally-linked agronomic entity comprises the step of conducting a search for inductively linked information.

10. A method of automatically establishing agronomically relational information as described in claim 9 wherein said step of conducting a search for inductively linked information comprises the step of conducting a fuzzy logic data similarity comparison between said initial agronomic target and said additional, relationally-linked agronomic entity.

11. A method of automatically establishing agronomically relational information as described in claim 10 wherein said step of conducting a fuzzy logic data similarity comparison between said initial agronomic target and said additional, relationally-linked agronomic entity comprises the step of conducting a fuzzy logic geo-spatial data similarity comparison between said initial agronomic target and said additional, relationally-linked agronomic entity.

12. A method of automatically establishing agronomically relational information as described in claim 10 wherein said step of conducting a fuzzy logic data similarity comparison between said initial agronomic target and said additional, relationally-linked agronomic entity comprises the step of conducting a fuzzy logic data similarity comparison between information on said initial agronomic target and information on said additional, relationally-linked agronomic entity selected from a group consisting of:

parcel identification information,

farm identification information,

physically aggregated parcel information,

physically aggregated parcel component information,

ownership information, and

land management information.

13. A method of automatically establishing agronomically relational information as described in claim 1 wherein said step of simultaneously displaying real and virtual land use information comprises the step of displaying a geo-spatial agronomic image.

14. A method of automatically establishing agronomically relational information as described in claim 13 wherein said step of displaying a geo-spatial agronomic image comprises the step of simultaneously displaying multiple zoomed geo-spatial agronomic images.

15. A method of automatically establishing agronomically relational information as described in claim 14 and further comprising the step of displaying tabulated data corresponding to at least one of said geo-spatial agronomic images.