Seed Location and Wet Zone Path Planning in Precision Planting
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Solution Overview
Problem
Agricultural operations face challenges such as excessive herbicide use, seed emergence uncertainty, inconsistent plant spacing, wet zone detection, input tendering without human intervention, dynamic path adjustment, and efficient planting of multiple seed varieties, which current technologies fail to address effectively.
Innovation Solution
Implementing GPS and computer systems to determine precise seed locations, detect wet zones using wheel slippage, soil contrast, and resistance, and dynamically alter vehicle paths to avoid wet zones while tendering inputs accurately, and planting multiple seed varieties using hybrid seed packs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If GPS and computer systems are implemented to determine precise seed locations, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The GPS and computer system serves multiple functions: determining vehicle location, tracking seed placement positions, monitoring field conditions, and planning operational paths. By making the system multi-functional, the patent avoids adding separate dedicated systems for each function, thereby improving seed location precision without proportionally increasing overall system complexity
Solution Approach 2:
The system automatically records and processes seed location data without requiring manual intervention. The computer system self-manages the data collection, storage, and analysis functions, reducing the operational complexity despite the advanced technology involved
2Loss of substance
If targeted weed control methods are implemented using seed location data, then loss of substance is reduced, but measurement precision requirements increase
Solution Approach 1:
The system applies different treatments to different locations based on precise seed location data. Herbicides are applied only where weeds are detected near specific seed positions, rather than uniformly across the entire field. This localized approach reduces overall herbicide consumption while maintaining effective weed control where needed
Solution Approach 2:
The system continuously monitors field conditions and compares detected vegetation locations against the recorded seed placement data. This feedback mechanism allows the system to identify weeds with high precision and adjust herbicide application accordingly, meeting the increased measurement precision requirements through iterative verification
3Reliability
If automatic wet zone detection is implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple detection methods (wheel slippage sensors, soil contrast imaging, resistance measurements) into a single integrated wet zone detection system. By merging these different sensing approaches, the system achieves high reliability through cross-validation of multiple indicators while avoiding the complexity of operating separate independent detection systems
Solution Approach 2:
The computer system acts as an intermediary that processes data from various sensors and synthesizes wet zone information. Rather than requiring direct complex interactions between multiple sensors, the computer mediates by collecting, analyzing, and interpreting signals from wheel slippage, soil contrast, and resistance measurements to determine wet zone locations
4Productivity
If dynamic path planning is implemented to avoid wet zones, then productivity is improved, but device complexity increases
Solution Approach 1:
The path planning system dynamically adjusts the vehicle's operational path based on real-time wet zone detection data. Rather than following a fixed predetermined path, the system continuously modifies the route to avoid identified wet areas, improving productivity by preventing vehicle entrapment while managing complexity through adaptive rather than static planning
Solution Approach 2:
The system performs preliminary path planning based on predicted or previously detected wet zones before the vehicle reaches problematic areas. By identifying and avoiding wet zones in advance rather than reacting when already in difficult terrain, the system improves operational efficiency while keeping the control system relatively simple through proactive rather than reactive path adjustment
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 targeted weed control, improves seed emergence statistics, ensures consistent plant spacing, automates wet zone detection, optimizes input management, and facilitates safe, efficient multi-hybrid planting.
Implementation Method 1
detecting wet zones using wheel slippage
Implementation Method 2
detecting wet zones using soil contrast
Implementation Method 3
detecting wet zones using soil resistance
Data Source
AI summary
Various apparatus and procedures for agricultural operations are provided. In particular, in one embodiment, methods for determining the precise location of each seed planted and using the seed planting location data to improve post-planting operations are provided. In another embodiment, apparatus and methods for determining the location of wet zones in an agricultural field and using the wet zone location data to plan an optimal path through the field to avoid wet areas are provided. In another embodiment, methods for tendering seed and chemical inputs for an agricultural operation are provided. In another embodiment, dynamic path planning methods of an autonomous agricultural vehicle are provided. In another embodiment, methods of planting end rows in an agricultural field are provided. In another embodiment, methods for planting multiple seed varieties in an agricultural field are provided.