Agricultural Sprayer HMI for Real-Time Weed Density Intervention
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Solution Overview
Problem
Agricultural machines lack the ability for real-time human intervention and confirmation in unplanned scenarios, such as unexpected high weed density or species changes, leading to suboptimal treatment decisions without human oversight.
Innovation Solution
A computer-implemented method that obtains field data, determines treatment performance, and modifies it using a modification function and representation parameters, allowing for real-time adjustments via a human-machine interface, enabling location-specific control of treatment components and storing identity data for further optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated agronomic decision engine is used for treatment decisions, then treatment efficiency and consistency are improved, but human control and adaptability to unexpected scenarios are lost
Solution Approach 1:
The system continuously monitors field conditions during treatment operations and provides real-time feedback to the control unit. When unexpected scenarios are detected (such as higher than expected weed density or different weed species), the feedback mechanism triggers a request for human confirmation, allowing the automated system to operate efficiently under normal conditions while adapting to unexpected situations through human oversight.
2Adaptability or versatility
If real-time human intervention is enabled during treatment operations, then adaptability to unexpected scenarios is improved, but system complexity and operational burden increase
Solution Approach 1:
The system automatically monitors field conditions and generates treatment decisions independently during operations. The control unit continuously analyzes sensor data and compares it against expected parameters, only requiring human intervention when deviations are detected. This self-service approach maintains system simplicity under normal operations while enabling complex adaptive responses when needed.
3Manufacturing precision
If treatment performance is modified in real-time based on field conditions, then treatment accuracy is improved, but data processing requirements and computational load increase
Solution Approach 1:
The system performs comprehensive real-time analysis of field conditions to determine treatment performance, but only activates full computational processing when necessary. The control unit continuously monitors key parameters and only triggers intensive data processing and human confirmation requests when deviations from expected conditions are detected, thereby maintaining high treatment accuracy while reducing overall computational load during normal operations.
Data Source
AI summary
A method for modifying a treatment performance for treating an agricultural field by an agricultural machine, whereas the method comprises a modification function and the agricultural machine comprises at least one treatment component, characterized in that the method having the steps of —Obtaining field data (S1, S10); —Determining a treatment performance by analyzing the field data (S2, S12); —Providing a treatment performance modification via the modification function and a representation parameter (S3, S13); —Modifying the treatment performance with the treatment performance modification (S4, S15).