Agricultural Geocoding System with Address Normalization and Confidence Scoring
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Solution Overview
Problem
Existing methods struggle to accurately aggregate and geocode data for agricultural operations, producers, and non-operating landowners due to the highly fragmented nature of the agricultural market and the difficulty in matching various farming entities to their respective producers.
Innovation Solution
A computer-implemented method that involves receiving a producer name and source address, retrieving address variants, normalizing the data, and using multiple geocoding services to retrieve geospatial data, which is then scored and stored with a unique location ID for display on a map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional single-source geocoding methods are used, then the process is simple, but the accuracy and reliability of matching farming entities to producers is insufficient
Solution Approach 1:
The patent combines multiple geocoding services and data sources into a unified geocoding system. The system integrates address normalization, multiple geocoding service queries, and confidence scoring into a single comprehensive solution, merging previously separate functions to achieve higher accuracy in matching farming entities to producers.
Solution Approach 2:
The geocoding system performs multiple functions: address normalization, querying multiple geocoding services, confidence scoring, and entity matching. This multi-functional approach allows a single system to handle various aspects of geocoding that previously required separate tools, improving both accuracy and versatility.
2Reliability
If multiple geocoding services and data sources are integrated, then the reliability of producer identification improves, but the data processing complexity increases
Solution Approach 1:
The system performs address normalization before querying geocoding services, preparing the data in advance to ensure consistent and accurate results. This preliminary processing step standardizes address formats and improves the reliability of subsequent geocoding operations across multiple services.
Solution Approach 2:
The system implements confidence scoring that evaluates the quality and reliability of geocoding results from multiple sources. This feedback mechanism allows the system to assess the reliability of producer identification and adjust processing accordingly, managing complexity through intelligent evaluation rather than brute-force processing of all possible data combinations.
3Loss of information
If comprehensive data aggregation from multiple sources is performed, then the completeness of the producer operation picture improves, but the time and resources required increase
Solution Approach 1:
The system merges multiple data sources including geocoding services, UCC filing data, tax parcel data, and operator data into a unified view of the producer's operation. This consolidation retrieves comprehensive information that would otherwise be scattered across separate systems, reducing information loss while managing retrieval through integrated queries.
Solution Approach 2:
The geocoding system serves as a universal platform that can retrieve and integrate various types of agricultural operation data (geospatial, financial, tax, operational) through a single system, eliminating the need for separate data collection processes and reducing overall time investment despite the comprehensiveness of data gathered.
Data Source
AI summary
A method for geocoding data about an agricultural operation. A producer name and source address are received as input at a geocoded warehouse component. The producer name and source address are to a geocoding component and address variants for the source address are retrieved. The source address and address variants are transmitting to a normalizing component that corrects the address and converts them to a standard format. The normalized address data is sent to one or more geocoding services that retrieve geospatial data for the normalized address data. The retrieved geospatial data is scored, assigned a unique location ID, and displayed to a user.