Seed Meter Vacuum Control for Multi-Variety Planting Maps
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Solution Overview
Problem
Existing seed meters, particularly vacuum seed meters, struggle to automatically optimize seed dispensing for different seed varieties during multiple variety planting operations, leading to inefficiencies such as doubles and skips, and manual adjustments are impractical or impossible due to the spatial distribution of seed varieties in a field.
Innovation Solution
A seed meter system that automatically adjusts vacuum levels and double eliminator settings based on location within a field, using a map-based prescription and closed-loop control, to optimize seed dispensing for specific seed varieties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of seed meter settings is used for different seed varieties, then the operator can control seed dispensing, but the spatial distribution of seed varieties in a field makes manual adjustments impractical or impossible
Solution Approach 1:
The seed meter system automatically adjusts its own settings based on GPS location and variety information without requiring manual intervention. The controller receives location data, identifies the required seed variety, and autonomously modifies vacuum levels and double eliminator settings to optimize dispensing for that variety.
Solution Approach 2:
The system uses GPS feedback to determine the planter's location in the field, which triggers the controller to retrieve corresponding variety information and automatically adjust meter settings. This closed-loop feedback mechanism enables continuous adaptation to different varieties throughout the planting operation.
2Stability of the object's composition
If the seed meter is adjusted to an acceptable setting and left there for all seed varieties, then the meter remains stable during planting, but the planting efficiency is reduced due to suboptimal settings for different varieties
Solution Approach 1:
The seed meter settings transition from static to dynamic, automatically adapting to different seed varieties based on location. The vacuum level and double eliminator settings are continuously adjusted according to the current variety requirements, allowing the system to maintain optimal performance across diverse planting conditions without manual intervention.
3Productivity
If vacuum levels and double eliminator settings are optimized for each seed variety, then planting efficiency is maximized, but the system complexity increases due to multiple adjustment parameters
Solution Approach 1:
The system optimizes planting efficiency by automatically changing key parameters including vacuum level and double eliminator settings according to the seed variety being planted. These parameter adjustments are driven by GPS location data and pre-programmed variety characteristics, enabling the system to handle multiple varieties with a single integrated control approach.
4Device complexity
If the seed meter uses fixed settings for all varieties, then the device complexity is minimized, but the manufacturing precision of seed dispensing deteriorates due to doubles and skips
Solution Approach 1:
The system performs preliminary identification of the required seed variety using GPS location data before actual dispensing occurs. Based on this pre-identification, the controller proactively adjusts vacuum levels and double eliminator settings to the optimal values for that specific variety, ensuring high dispensing precision is achieved before any seeds are released.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances planting efficiency by minimizing doubles and skips, ensuring optimal seed distribution based on seed variety and location, thereby maximizing overall crop yield.
Implementation Method 1
A vacuum seed meter may use a vacuum to gently pull and hold individual seeds to a seed disk
Data Source
AI summary
A method including adjusting a changeable component of a seed planting machine when switching from a first variety of seed to a second variety of seed during planting, wherein the adjusting is based on a location of the planting machine.