Variable Rate Planter Seed Placement via GPS Zone Control
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Solution Overview
Problem
Current agricultural systems lack efficient methods for varying crop input application rates, such as seed planting and fertilizer application, to maximize yield and profit, as they often result in overplanting or underplanting, and do not effectively utilize site-specific field characteristics.
Innovation Solution
A system comprising a planter equipped with variable seed population control, GPS, seed sensors, and a monitor that generates a prescription map for precise seed placement, allowing for real-time adjustment of seed application rates based on location and field conditions, and records planting data for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform seed application rate is used across the entire field, then操作简单 (operation simplicity) is improved, but yield maximization and resource efficiency deteriorate due to overplanting and underplanting
Solution Approach 1:
The patent implements variable seed application rates tailored to specific zones within the field based on soil productivity maps. The system divides the field into multiple zones with different target population rates, allowing each local area to receive optimized seed placement rather than uniform application across the entire field.
Solution Approach 2:
The system dynamically adjusts seed application rates in real-time based on GPS location and pre-defined zone boundaries. The planter controller automatically modifies population rates as the planter moves between zones, enabling adaptive response to spatial variability in field conditions without manual intervention.
2Productivity
If variable seed application rates are implemented based on site-specific conditions, then yield maximization and resource efficiency are improved, but device complexity increases due to additional sensors, GPS, and control systems
Solution Approach 1:
The system integrates multiple functions into a unified control platform that combines GPS positioning, zone boundary management, real-time rate adjustment, and planting monitoring. This multi-functional approach consolidates what could be separate complex subsystems into a coordinated integrated system.
Solution Approach 2:
The system automatically determines current zone boundaries and adjusts seed application rates without requiring continuous manual input or complex operator decisions. The controller self-manages the variable rate application process by comparing GPS position against stored zone definitions and autonomously modifying plant population rates.
3Manufacturing precision
If precise plot boundary detection is implemented using GPS and sensors, then manufacturing precision of plot placement is improved, but measurement precision requirements and device complexity increase
Solution Approach 1:
Plot boundaries and zone definitions are pre-established using GPS coordinates before planting operations begin. This preliminary mapping allows the system to rely on positional comparison rather than requiring real-time boundary detection, reducing measurement precision demands during actual planting.
Solution Approach 2:
The system uses GPS coordinates as an intermediary reference system to define plot boundaries and determine current position. Rather than directly measuring physical boundaries during planting, the system mediates through coordinate-based zone definitions that simplify boundary detection and improve placement consistency.
Data Source
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AI summary
Systems and methods for implementing a plot in a field based on the location of a marker placed in an application prescription map prior to a crop input application operation. The plot defines a plot region. The plot region is defined during the crop input application operation based on the marker location.