Farm Field Boundary Generation for Tillable Acre Separation
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Solution Overview
Problem
Existing methods for drawing geospatial boundaries in land use are tedious and error-prone, particularly when separating tillable and non-tillable areas with irregularly shaped borders.
Innovation Solution
A computer-implemented method that dynamically generates farm field boundaries using geospatial datasets, such as CLUs and USDA Cropland Data Layer, to automatically categorize and separate agricultural land from other uses, with manual editing options for corrections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual drawing of boundaries is used to separate tillable and non-tillable areas, then flexibility in boundary definition is improved, but time consumption and error rate increase
Solution Approach 1:
The patent replaces the manual mechanical drawing process with an automated computational system that uses geospatial datasets and algorithms to generate field boundaries. The system automatically processes satellite imagery, soil data, and terrain information to create accurate boundaries without manual intervention, thus reducing time consumption while maintaining flexibility through configurable parameters.
Solution Approach 2:
The system enables self-service by allowing users to define boundary criteria and parameters once, after which the system automatically generates and updates boundaries based on new data without requiring repeated manual drawing. The automated system serves itself by continuously processing available geospatial data to maintain accurate boundaries.
2Adaptability or versatility
If manual drawing of boundaries is used to separate tillable and non-tillable areas, then adaptability to irregular shapes is improved, but error rate increases
Solution Approach 1:
The patent replaces manual boundary drawing with an automated computational system that uses algorithms to process geospatial data and generate boundaries. This automated approach eliminates human errors while maintaining adaptability to irregular shapes through sophisticated image processing and data analysis capabilities that can accurately follow complex boundary definitions.
Solution Approach 2:
The system creates accurate digital copies of boundary definitions from multiple data sources (satellite imagery, soil maps, terrain data) and processes them through algorithms to generate precise boundary lines. This copying and processing approach ensures consistency and accuracy across different data representations while adapting to irregular shapes.
3Productivity
If dynamic creation of farm fields from geospatial datasets is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent segments the complex boundary creation process into distinct modular components: data retrieval module, data processing module, boundary generation module, and validation module. Each module handles a specific aspect of the process, making the overall complex system manageable and maintainable while achieving high productivity through automated parallel processing of multiple geospatial datasets.
Solution Approach 2:
The system implements a universal platform that can process multiple types of geospatial datasets (satellite imagery, soil data, terrain information) and generate various types of boundaries (field boundaries, prescription boundaries, management zones). This multi-functional approach consolidates what would otherwise require multiple separate tools into a single system, managing complexity while enhancing productivity.
Data Source
AI summary
A method for dynamically generating a farm field boundary separating tillable acres from non-tillable acres. A location information input is received, and a map depicting an area represented by the location information is displayed. The user selects one or more land parcels from the map. A first geospatial dataset overlapping the selected parcels is retrieved, and the boundaries of the first geospatial dataset are trimmed to match the boundaries of the selected parcels. If the trimmed parcel boundaries are greater than the minimum allowed acreage, a farm field is created. A second geospatial dataset indicative of land use is retrieved, and an acreage type to is assigned to the farm field.