System and method for determining and presenting differences in plant productivity in variable locations and environments

• US 7,188,029 B1
• Filed: 08/29/2003
• Issued: 03/06/2007
• Est. Priority Date: 08/30/2002
• Status: Expired due to Fees

• Current Assignee: DIDO LLC
• Original Assignee: DIDO LLC
• Inventors: Biddick, Bradley D.
• Primary Examiner(s): McElheny, Jr.; Donald
• Application Number:
  US10/651,409
• Time in Patent Office: 1,285 Days
• Field of Search: 702/5, 702/2, 702/3, 701/50
• US Class Current: 702/2
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

A system and method of combining plant productivity testing data with environmental data and geographic data of testing sites in a computer program comprising at least one database for receiving, storing, analyzing and outputting the data.

Claims

1. A plant variability determining system, comprising:

at least one electronic contributor station having a first storage system for receiving and storing empirical data related to plant growing conditions;

a geographic data mapping system for receiving, transmitting and storing geographic data;

at least one electronic processing system for receiving empirical data and geographic data and creating enhanced format data using the empirical data and the geographic data;

at least one electronic product database system, for transmitting and storing enhanced format data; and

at least one electronic extractor station having a second storage system for receiving and storing the enhanced format data from the product database.

2. A system according to claim 1, wherein the product database is coupled with a security system to restrict access from the extractor station.

3. A method of determining plant genetic variability, comprising the steps of:

gathering empirical data related to plant growing conditions;

mapping the empirical data with geographical data; and

determining a Plant Variability Quotient (PVQ), wherein the PVQ is dependent on empirical data and the geographic data.

4. A method according to claim 3, wherein the empirical data related to plant growing conditions is selected from the group consisting of soil conditions data, soil gradient data, topological data, meteorological data, remote sensing satellite data, plant genetic data, plant productivity data, irrigation data, lodging and disease response data, and grain moisture content data.

5. A method according to claim 3, wherein the geographic data is obtained from a global positioning system (“

GPS”

) capable of ascertaining position in terms of latitudes and longitudes.

6. A method according to claim 3, wherein the geographic data includes ZIP codes.