Agricultural Spatial Data Processing for Real-Time Yield Visualization
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Solution Overview
Problem
Existing precision farming systems lack effective methods for displaying yield data in real-time during agricultural operations, limiting their utility in optimizing planting and harvesting processes.
Innovation Solution
A planter data collection system and harvest data collection system, integrated with GPS and sensors, that correlate and display planting and harvesting data on a monitor screen, enabling real-time visualization and analysis of planting metrics and yield data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing mapping technology is used to display agricultural data, then basic mapping functionality is provided, but real-time yield data visualization during field operations is not achieved
Solution Approach 1:
The patent combines multiple data collection systems (planter data collection system and harvest data collection system) into a unified display system that shows both planting and yield data on a single monitor screen. This merging approach enables comprehensive real-time visualization without requiring separate systems for each function.
Solution Approach 2:
The display system is designed to serve multiple functions: it displays planting data from the planter system, yield data from the harvest system, and provides real-time monitoring capabilities. This multi-functional approach maximizes the utility of the data collection infrastructure.
2Productivity
If real-time data monitoring is implemented, then operational efficiency is improved, but system complexity increases
Solution Approach 1:
The system implements real-time feedback by continuously monitoring planting data and yield data simultaneously, allowing operators to make immediate adjustments to optimize operations. The live display of correlated data provides continuous feedback on the relationship between planting decisions and harvest outcomes.
Solution Approach 2:
The planter data collection system gathers and stores planting data in advance during the planting operation, preparing the data for later correlation and display during harvest. This preliminary data collection enables real-time analysis without adding complexity to the harvest operation itself.
3Loss of information
If comprehensive data collection is performed, then data correlation capability is enhanced, but information processing requirements increase
Solution Approach 1:
The patent segments the data collection process into distinct modules: a planter data collection system that captures planting data and a harvest data collection system that captures yield data. Each module independently collects and manages its own data, making the overall system more manageable despite the large volume of information.
Solution Approach 2:
The system uses an intermediary display interface that correlates planting data with yield data through spatial relationships. This intermediary layer processes and presents the correlated information in a meaningful way without requiring direct manipulation of the raw data volumes from both systems.
Data Source
AI summary
A method comprising while traversing, by a current agricultural implement during a current agricultural operation, a plurality of current geo-referenced locations: receiving, from one or more sensors, mounted in the current agricultural implement, current data at the plurality of current geo-referenced locations, wherein the plurality of current geo-referenced locations includes a plurality of swath locations; dynamically displaying a visual correlation between previous data collected from a previous agricultural operation and the current data, comprising: rendering a bitmap from bitmap values corresponding to the current data, wherein the bitmap includes only those bitmap values that are associated with a threshold number of swath locations; generating a plurality of values of the previous data corresponding to a current geo-referenced location of the current agricultural implement; and displaying, on a display device, the plurality of values of the previous data as visually correlated with the current data received during the current agricultural operation.