Zone Mapping for Precise Agricultural Material Application
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Solution Overview
Problem
Current agricultural automation systems lack an efficient method to identify and document where agricultural materials should be applied, adjust application specifics based on different features like hedges or waterways, and track the application process, especially with stringent legal requirements.
Innovation Solution
A zone mapping system that allows users to identify and map geographic areas, determine application plans by recognizing features and applying offsets based on feature types and material types, and transmit these plans to agricultural machines for precise application and tracking, with data storage for later retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If typical application systems adjust only the application rate, then the system is simple to operate, but it cannot identify and document specific application zones or track the application process
Solution Approach 1:
The zone mapping system integrates multiple functions including zone identification, application planning, machine control, and documentation tracking into a single unified system. This allows the system to perform zone mapping, transmit application plans to agricultural machines, and track application processes simultaneously, resolving the contradiction by making one system serve multiple purposes rather than requiring separate systems for each function
Solution Approach 2:
The zone mapping system acts as an intermediary between the user, the agricultural machine, and the documentation database. It receives user input for zone identification, processes this information into application plans, transmits them to machines for execution, and stores documentation of the application process. This intermediary role enables comprehensive documentation and tracking without requiring direct complex interactions between all system components
2Manufacturing precision
If the system identifies features and applies offsets to determine precise application zones, then the application precision is improved, but the time required to create application plans increases
Solution Approach 1:
The system performs preliminary actions by automatically identifying features within zones and calculating appropriate offsets based on feature types and material types before the user finalizes the application plan. This automated preliminary processing reduces the time users need to spend on manual zone delineation and calculation, while still achieving precise application zone determination
Solution Approach 2:
The zone mapping system performs self-service by automatically identifying features within user-defined zones and computing the necessary offsets to determine precise application boundaries. The system uses stored information about different feature types and material types to autonomously calculate offset distances, eliminating the need for users to manually perform these complex calculations and reducing plan creation time
3Reliability
If the system stores and tracks detailed application information, then compliance with legal requirements is improved, but the data management complexity increases
Solution Approach 1:
The agricultural machine provides feedback to the zone mapping system by transmitting information about the actual application process, including location data and application parameters. The zone mapping system stores this feedback information in the database, creating a complete audit trail that demonstrates compliance with legal requirements. This automated feedback loop ensures reliable documentation without requiring manual record-keeping
4Adaptability or versatility
If the system allows user customization of zones and application plans, then the adaptability to different scenarios is improved, but the ease of operation decreases
Solution Approach 1:
The zone mapping system provides dynamic adaptability by allowing users to define custom zones and select different feature types and material types based on specific application scenarios. The system dynamically adjusts the application plan based on user selections and automatically identifies features within the defined zones. This dynamic configuration capability enables the system to adapt to various scenarios while maintaining ease of operation through automated processing
Data Source
AI summary
A method and system for zone mapping displays a geographic area to a user and receives input from the user identifying a zone of the geographic area. An identification of an agricultural material to be applied in the zone is also received and an application plan is generated in response. The application plan is generated based on features identified in the zone, the agricultural material to be applied, and application requirements and restrictions associated with the agricultural material that are identified by the manufacturer of the material and, in some cases, governmental agencies. The agricultural machine tracks the application of the agricultural material and transmits application information for storage in the zone mapping system for later retrieval in response to requests, such as compliance requests.