Precision Seed Location and Wet-Zone Path Planning in Farming
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Solution Overview
Problem
Agricultural operations face challenges such as excessive herbicide use, inconsistent seed emergence and 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 seed location, detect wet zones using wheel slippage or soil contrast, dynamically alter vehicle paths, and use hybrid seed packs for multiple inputs, while enabling precise planting and targeted weed control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a self-propelled sprayer traverses the field applying herbicide over the entire soil surface, then weed control is achieved, but excessive herbicide use and runoff occur
Solution Approach 1:
The system applies herbicide only at specific locations where weeds are detected, rather than uniformly across the entire field. Sensors identify weed locations and the sprayer delivers targeted applications, creating localised treatment zones that maintain effectiveness while reducing overall chemical usage and preventing runoff to waterways
Solution Approach 2:
The patent replaces the conventional mechanical approach of blanket field spraying with an automated sensor-based detection and targeted response system. Optical or other sensors detect weed presence, and this information feeds into a control system that activates the sprayer only at precise locations, substituting mechanical uniform application with intelligent selective application
2Productivity
If seeds are planted manually or with basic equipment, then planting can be performed, but inconsistent seed spacing and poor emergence tracking occur
Solution Approach 1:
The system replaces manual or basic mechanical planting with an automated precision planting system that uses GPS guidance and electronic control. The planter is guided by GPS coordinates to achieve consistent spacing, and sensors track seed placement and emergence, providing digital records that improve both precision and monitoring capability
Solution Approach 2:
The system incorporates sensors that detect seed placement accuracy and emergence status, feeding this information back to operators or control systems. This feedback mechanism allows for real-time monitoring of planting quality and enables corrective actions to maintain consistent spacing and track emergence rates across the field
3Loss of information
If GPS information is unavailable or inaccurate, then location determination is compromised, but plant spacing based location can provide alternative positioning
Solution Approach 1:
The system uses plant spacing as an intermediary reference to determine vehicle location when GPS is unavailable. By measuring the physical distance between previously planted seeds or emerging plants, the system calculates its position relative to the field layout, providing an alternative positioning method that maintains operational continuity
Solution Approach 2:
The system pre-records the expected spacing and locations of planted seeds before beginning field operations. This preliminary data serves as a reference framework that enables the vehicle to determine its current position by comparing actual observations against the pre-established planting pattern, allowing location determination without real-time GPS
4Difficulty of detecting and measuring
If a scout is sent to identify wet zones in the field, then wet area detection is possible, but the process is time consuming and requires human intervention
Solution Approach 1:
The agricultural vehicle performs wet zone detection automatically during its normal field operations without requiring separate scouting trips or human intervention. Sensors mounted on the vehicle continuously monitor soil moisture conditions and terrain characteristics, enabling the system to self-determine optimal paths and avoid wet areas autonomously
Solution Approach 2:
The vehicle combines multiple functions into a single operation: it performs field work (planting, spraying, or harvesting) while simultaneously conducting wet zone detection and path planning. The same sensors and processing systems used for primary operations also identify wet areas, eliminating the need for dedicated scouting activities and reducing overall time requirements
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 seed emergence tracking, reduces herbicide use, improves seed spacing consistency, automates wet zone detection, ensures safe and efficient input tendering, and allows for cost-effective multi-hybrid planting.
Implementation Method 1
detecting wet zones in an agricultural field using wheel slippage
Implementation Method 2
detecting wet zones in an agricultural field using soil contrast
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.