On-the-Go Organic Matter Sensing for Real-Time Seeding Control
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Solution Overview
Problem
Current methods for variable rate seeding in agriculture require time-consuming soil testing and mapping prior to planting, limiting the ability to adjust seeding rates and soil treatments in real time based on varying soil organic matter levels.
Innovation Solution
A system that includes a soil sensor to measure organic matter and other field attributes in real time, using a processor to weigh these data types and determine yield potential, allowing for on-the-go adjustments to seeding rates, hybrid selection, and soil treatments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If soil testing and mapping are performed prior to planting, then seeding rate prescription can be planned, but the process is time intensive and cannot be done in real time
Solution Approach 1:
The patent replaces traditional mechanical soil testing methods with an optical sensor system that uses light transmission through soil cores to measure organic matter content in real-time during planting operations, eliminating the need for time-consuming laboratory analysis
Solution Approach 2:
The patent introduces an optical sensor as an intermediary measurement device that can quickly assess soil organic matter levels during field operations, serving as a real-time mediator between planting decisions and soil conditions without requiring preliminary mapping
2Productivity
If variable rate seeding is implemented, then yield potential can be optimized, but current methods require preliminary mapping that limits real-time adjustment
Solution Approach 1:
The patent implements dynamic adjustment of seeding rates based on real-time optical measurements of soil organic matter, allowing the system to adapt planting parameters continuously during field operations rather than relying on static pre-planned zones
Solution Approach 2:
The patent establishes a feedback loop where optical sensors continuously measure soil organic matter levels, the processor analyzes this real-time data, and the seed meter automatically adjusts seeding rates accordingly, enabling dynamic optimization of yield potential during planting
Data Source
AI summary
An on-the-go planting system utilizing soil organic matter data to prescribed seeding rate, hybrid/variety selection or soil treatment. The system weights at least two field attribute data types, such as soil organic matter data and normalized yield data to prescribe one or more outcomes. The system can also generate a yield potential value so as to prescribe the outcomes.