Georeferenced Crop Display for Faster Farm Data Correlation
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Solution Overview
Problem
Farmers face challenges in making informed decisions due to the cumbersome, time-consuming, and imprecise process of gathering and correlating various data sources for agricultural management, such as crop progress, pest and weed identification, and fertilizer application, which often relies on memory or spreadsheets and consumes significant computer processing resources.
Innovation Solution
A system that preprocesses and stores georeferenced agricultural data, displaying it in an augmented reality format using mobile devices and cloud services, allowing for real-time visualization of agricultural surfaces with superimposed data such as fertilizer application rates, pest locations, and soil types, enabling farmers to make data-driven decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If farmers use traditional methods (memory or spreadsheets) to gather and correlate agricultural data, then the process is simple to implement, but it is time-consuming and imprecise
Solution Approach 1:
The system pre-processes and stores agricultural data in an organized manner before it is needed for decision-making. Data from multiple sources (crop progress, pest identification, fertilizer application) is collected, georeferenced, and correlated in advance, so that when farmers need information, it is already prepared and integrated, eliminating the time-consuming manual gathering and correlation process
Solution Approach 2:
The patent introduces a cloud-based data processing system that acts as an intermediary between raw agricultural data and the farmer. This intermediary automatically collects, processes, correlates, and presents integrated information across multiple data sources, replacing the farmer's manual process of gathering and correlating data from memory or spreadsheets
2Measurement precision
If farmers manually gather and correlate various data sources, then the process is easy to implement, but it consumes significant computer processing resources
Solution Approach 1:
The system divides the data processing task into segments: data collection from multiple sources is separated from data correlation and analysis. Different data types (crop progress, pest identification, fertilizer application) are processed independently and then integrated through georeferencing, allowing efficient distribution of processing loads and reducing overall computational overhead
Solution Approach 2:
The patent uses georeferenced visual indicia and augmented reality overlays to create visual copies of integrated data that can be displayed without requiring continuous complex processing. Once data is correlated and integrated, it is represented through visual indicators that can be rendered and displayed efficiently, reducing ongoing processing requirements
3Productivity
If traditional data gathering methods are used, then the system is simple, but decision-making efficiency is reduced
Solution Approach 1:
A cloud-based intermediary system handles the complexity of data integration, correlation, and analysis automatically. This intermediary processes multiple data sources and presents integrated information to the farmer through a user interface, shielding the user from system complexity while enabling efficient decision-making through access to comprehensive, pre-processed information
Solution Approach 2:
The system uses visual indicators including color-coded georeferenced visual indicia to represent different types of agricultural data and their integrated relationships. Color changes and visual transformations provide intuitive representation of complex data, allowing farmers to quickly understand integrated information without requiring complex analysis, thereby improving decision-making efficiency
Data Source
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AI summary
A computer-implemented method is disclosed. The method comprising: displaying (686), on a display device, a display of an agricultural surface; receiving georeferenced intercropping data (715) indicative of a characteristic of a plurality of different crop species planted on the agricultural surface and corresponding geographically to the agricultural surface; and generating (320) an enhanced display on the display device by enhancing the display of the agricultural surface with visual indicia, the visual indicia being indicative of the georeferenced intercropping data (715). Furthermore, an agricultural system, comprising such method is disclosed.