Management Zone Delineation for Data-Driven Planting Plans
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Solution Overview
Problem
Current agricultural management systems lack efficient methods to identify and manage management zones within fields, leading to suboptimal crop yields and resource allocation due to the inability to uniformly manage regions with similar limiting factors.
Innovation Solution
A computer-based system that utilizes digital map data and pipelined data processing to determine management zone delineation options by clustering yield and field characteristics data, allowing for the generation of planting plans and recommendations for uniform management practices across identified zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If uniform management practices are applied across the entire field, then operational simplicity is maintained, but crop yields and resource allocation efficiency deteriorate due to ignoring regional variations in limiting factors
Solution Approach 1:
The patent segments the agricultural field into multiple management zones based on spatial data analysis of yield maps, soil characteristics, and topography. Each zone is identified with unique limiting factors and is assigned customized management practices, thereby resolving the contradiction by enabling differentiated management that improves productivity without requiring complete manual intervention for zone identification
Solution Approach 2:
The system changes the parameter of management uniformity from field-wide to zone-specific by analyzing spatial variability in yield data, soil properties, and topographic features. This parameter change allows the system to identify distinct management zones where customized practices can be applied, improving crop yields while maintaining operational feasibility through automated analysis
2Productivity
If management zones are identified and customized practices are implemented, then resource allocation efficiency improves, but the complexity of data processing and zone delineation increases
Solution Approach 1:
The patent segments the complex data processing task into distinct modules: yield map analysis, soil characteristic evaluation, topography assessment, and zone delineation. Each module processes specific data types and contributes to the overall zone identification, making the complex data processing more manageable and systematic while improving resource allocation efficiency
Solution Approach 2:
The patent introduces a computer system as an intermediary that automatically processes spatial data from multiple sources (yield maps, soil surveys, topography data) and generates management zone delineations. This intermediary handles the complex data processing tasks, reducing the burden on farmers and enabling improved resource allocation without requiring them to directly manage the complexity of multi-source data integration
3Loss of time
If automated zone identification systems are implemented, then time consumption for manual zone delineation is reduced, but the complexity of the system infrastructure increases
Solution Approach 1:
The patent implements a self-service automated system that uses computer algorithms to independently analyze yield map data, soil characteristics, and topography information to delineate management zones without requiring manual farmer intervention. The system serves itself by automatically processing data and generating zone recommendations, significantly reducing time consumption while keeping infrastructure complexity manageable through the use of standard computing hardware and software
Data Source
AI summary
In an embodiment, yield data representing yields of crops that have been harvested from an agricultural field and field characteristics data representing characteristics of the agricultural field is received and used to determine a plurality of management zone delineation options. Each option, of the plurality of management zone delineation options, comprises zone layout data for an option. The plurality of management zone delineation options is determined by: determining a plurality of count values for a management class count; generating, for each count value, a management delineation option by clustering the yield data from and the field characteristics data, assigning zones to clusters, and including the zones in a management zone delineation option. One or more options from the plurality of management zone delineation options are selected and used to determine one or more planting plans. A graphical representation of the options and the planting plans is displayed for a user.