Swath Parameter Mapping for Coordinated Crop Gathering
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Solution Overview
Problem
Agricultural vehicles face challenges in efficiently recording and sharing information about formed swaths of plant material to enhance the efficiency of subsequent operations, such as gathering by other agricultural vehicles.
Innovation Solution
A system that generates a swath parameter map using sensor data and location data from an agricultural vehicle to determine and record parameters and locations of swaths, enabling sharing with other vehicles for improved operational planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data and location data are collected and processed to generate swath parameter maps, then the precision of swath information is improved, but the complexity of the recording system increases
Solution Approach 1:
The system divides the swath recording process into distinct functional modules: sensor data acquisition module, location data acquisition module, data processing module, and map generation module. Each module handles a specific aspect of data collection and processing, reducing overall system complexity while maintaining high measurement precision through specialized processing in each segment.
Solution Approach 2:
A controller serves as an intermediary component that receives data from multiple sensors and location devices, processes this information, and generates the swath parameter map. This intermediary architecture simplifies the system by centralizing data integration and processing logic, preventing the need for complex direct connections between all components.
2Loss of information
If detailed sensor data is collected for each swath, then the information quality is improved, but the time required for data processing increases
Solution Approach 1:
The system performs preliminary organization and filtering of sensor data as it is being collected, preparing the data in advance for map generation. This preliminary action reduces the computational burden during final map creation, maintaining high information quality while minimizing processing time delays.
Solution Approach 2:
The data processing occurs continuously alongside data collection rather than in discrete batches. The controller continuously processes incoming sensor and location data to generate updated swath parameter maps, ensuring no information loss while maintaining efficient real-time processing without interruption or delay.
Data Source
AI summary
A method of determining a crop yield of a field worked by an agricultural vehicle includes receiving, from a sensor of the agricultural vehicle, sensor data associated with at least one parameter of a swath of a plant material formed by the agricultural vehicle in the field. The method further includes receiving, from a location sensor, location data indicative of a location of the swath of the plant material. The method further includes generating, based on the sensor data and the location data, the swath parameter map indicating the at least one parameter of the swath of the plant material at the location of the swath of the plant material.


