Sub-field Soil Nutrient Management via Spatial Critical Level Mapping
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Solution Overview
Problem
Conventional nutrient management practices apply one-size-fits-all guidelines that fail to account for sub-field differences in soil moisture and environmental factors, leading to inefficient fertilizer use and nutrient loss.
Innovation Solution
A computing system that determines critical nutrient levels based on derivative data from digital elevation models, generating spatial critical level maps and recommendations for soil nutrient application rates, taking into account sub-field variations in water availability, infiltration rates, and elevation derivatives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional one-size-fits-all nutrient management guidelines are applied, then ease of operation is improved, but fertilizer use efficiency deteriorates and nutrient loss increases
Solution Approach 1:
The patent applies local quality by transitioning from uniform field-wide nutrient recommendations to sub-field specific recommendations based on spatially variable soil moisture status. The system divides the field into multiple sub-fields and determines critical nutrient levels independently for each sub-field based on local environmental conditions, thereby optimizing fertilizer use efficiency while maintaining operational feasibility through automated spatial analysis
Solution Approach 2:
The patent segments the field into multiple sub-fields based on soil moisture status and environmental factors. This segmentation allows the system to apply different nutrient management strategies to different areas of the field, improving fertilizer use efficiency by targeting nutrients to areas that need them most while reducing overall nutrient loss through precision application
2Device complexity
If static critical level values are used for all nutrients, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent transitions from static critical level values to dynamic, spatially variable critical level values that change based on sub-field location, soil moisture status, and environmental factors. This dynamic approach maintains manageable system complexity through automated computational models while significantly improving measurement precision by accurately reflecting local nutrient requirements in each sub-field
3Ease of manufacture
If broad geographic area profiles are used, then ease of manufacture is improved, but adaptability deteriorates
Solution Approach 1:
The patent applies local quality by developing nutrient management recommendations that are specifically adapted to local sub-field conditions rather than using broad geographic profiles. The system maintains ease of manufacture through automated spatial analysis tools while achieving high adaptability by tailoring recommendations to local soil moisture status, elevation, and environmental factors in each sub-field
Data Source
AI summary
A computing system includes a processor and a memory having instructions stored thereon that, when executed by the one or more processors, cause the computing system to: determine critical level data, generate a spatial critical level map, generate soil nutrients recommendations data, and cause the spatial critical level map and the soil nutrients recommendations data to be displayed. A method includes determining critical level data, generating a spatial critical level map, generating soil nutrients recommendations data, and causing the spatial critical level map and the soil nutrients recommendations data to be displayed. A non-transitory computer readable medium includes program instructions that when executed by one or more processors, cause a computer to determine critical level data, generate a spatial critical level map, generate soil nutrients recommendations data, and cause the spatial critical level map and the soil nutrients recommendations data to be displayed.