Geospatial Field Data Layering for Precise Farm Grid Analytics
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Solution Overview
Problem
Existing farming data collection and analysis methods lack geographic and temporal specificity, leading to inefficient and non-uniform data processing across different platforms, limiting the ability to derive precise and real-time analytical insights.
Innovation Solution
The conversion of farming datasets into discrete geospatial containers corresponding to grid cells of a selected spatial grid system, allowing for precise geographic and temporal association of data, enabling real-time analytics and cross-platform compatibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If farming data from multiple sources is collected and stored in traditional formats, then data quantity increases, but data organization accuracy and analysis precision deteriorate
Solution Approach 1:
The patent segments farming data into discrete geospatial containers associated with specific grid cells. Each container holds data for a defined geographic area, enabling precise organization and analysis. This segmentation allows the system to handle large quantities of data from multiple sources while maintaining high analysis precision through structured spatial organization.
2Ease of manufacture
If data is stored in traditional formats without geospatial organization, then storage simplicity is maintained, but data transfer compatibility and analytics accuracy deteriorate
Solution Approach 1:
The patent creates a universal geospatial container format that can store various types of farming data (machine data, agronomic data, weather data, soil data) from multiple sources. This standardized format enables seamless data transfer between different analytics systems and platforms, significantly improving compatibility while maintaining organized storage structure.
3Productivity
If field data is not converted into geospatial containers, then processing speed is maintained at current levels, but data analytics precision and geographic-specific insights deteriorate
Solution Approach 1:
The patent performs preliminary conversion of field data into geospatial containers during the data collection phase. By pre-organizing data into grid-cell-based containers with defined geographic boundaries, the system enables rapid and precise analytics without requiring complex spatial processing during analysis, thus maintaining processing speed while significantly improving analytics precision.
Data Source
AI summary
Embodiments relate to storing farming activity values into geospatial containers associated with a spatial grid system, and generating data analytics therefrom. Pulse data collected by a data collection device and associated with a swath width of a farming implement can be obtained. A pulse polygon can be generated based on the swath width and location information included in the pulse data. The pulse polygon can be translated into at least one grid cell of a plurality of grid cells of a spatial grid system, such that the at least one grid cell geographically corresponds to the pulse polygon. Relevant data points extracted from the pulse data can be stored into a geospatial container generated for each grid cell of the at least one grid cell. Any of the geospatial containers can thus be selectively analyzed, independently or in combination with other geospatial containers, to derive accurate insights therefrom.