Embryonic Plant Listing System with Geographic Data Segmentation
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Solution Overview
Problem
Publishing agricultural listings on network sites is complex due to numerous parameters that change dynamically, such as soil attributes and weather conditions, making it impractical for end-users to manage and update listings effectively.
Innovation Solution
An embryonic plant listing system that allows users to create listings with static and variable data, including geographic specifications, enabling listings to be displayed based on the viewer's location through a map interface, facilitating easy management and updating of listings based on different geographic areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users publish agricultural listings with detailed parameters (traits, soil attributes, etc.), then the information completeness and accuracy of listings is improved, but the complexity of managing and updating each listing increases significantly
Solution Approach 1:
The patent segments the agricultural listing management into two distinct parts: static parameters (plant traits, variety information) that remain constant, and dynamic parameters (soil attributes, weather conditions) that change over time. This segmentation allows users to manage static information once while automatically handling dynamic updates through external data sources, thereby reducing management complexity while maintaining information completeness.
Solution Approach 2:
The system implements self-service by automatically fetching dynamic parameters from external data sources (weather services, soil databases) without requiring manual user input. The listing automatically updates itself with current environmental conditions, eliminating the burden on users to continuously monitor and update changing parameters while maintaining accurate, complete information.
2Reliability
If users manually update each listing parameter in response to dynamic events (weather, soil changes), then the accuracy and relevance of listings is improved, but the time and effort required for management becomes impractical
Solution Approach 1:
The system performs preliminary action by pre-configuring data sources and update rules during listing creation. External data sources (weather APIs, soil databases) are identified and linked in advance, establishing automatic update mechanisms before dynamic events occur. This preliminary setup eliminates the need for manual monitoring and updating when conditions change, maintaining listing accuracy while minimizing user time investment to an initial configuration step.
Solution Approach 2:
The system implements continuous feedback loops where external data sources automatically provide updated information about weather conditions, soil attributes, and other dynamic factors. This feedback mechanism triggers automatic listing updates, ensuring listings remain accurate and relevant without requiring user intervention. The system monitors changes in real-time and adjusts listing parameters accordingly, maintaining reliability while eliminating manual management time.
3Adaptability or versatility
If the system stores detailed variable data for multiple geographic regions, then the relevance and applicability of listings to specific locations is improved, but the data storage and processing complexity increases
Solution Approach 1:
The patent applies local quality by storing and applying different parameter sets for different geographic regions. Each region has its own specific soil attributes, weather patterns, and environmental characteristics that are locally optimized. The system automatically selects and applies the appropriate regional data based on the listing's geographic location, ensuring high geographic adaptability while managing complexity through automated region-based data organization and selection.
Data Source
AI summary
A network platform for managing agricultural display content (e.g., seed listings) can be implemented to enable posting users to create complex listings that have static data, variable data, and geographic data associated with each listing. One or more map user interfaces have different viewing levels to specify network site visibility for each listing at different viewing levels (e.g., region level, subregion level).