Image-Based Formation Abnormality Evaluation for Agricultural Ridges
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Solution Overview
Problem
Existing agricultural traveling vehicles lack the capability to accurately determine formation abnormalities in formed objects such as ridges on agricultural fields.
Innovation Solution
An evaluation system and method using an arithmetic processor to analyze images of formed objects, detect deviations from normal shapes, and adjust operations based on detected abnormalities, including manual or automatic control of the working device and vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the agricultural traveling vehicle uses simple direction identification, then the device complexity is low, but the measurement precision of formation abnormalities is insufficient
Solution Approach 1:
The patent replaces mechanical/visual inspection methods with image processing and arithmetic computation. The arithmetic processor analyzes images of formed objects to detect formation abnormalities, substituting manual or simple mechanical detection systems with computational image analysis to achieve higher measurement precision without proportionally increasing mechanical device complexity
Solution Approach 2:
The patent introduces an image as an intermediary between the formed object and the detection system. Instead of directly measuring physical formation characteristics, the system captures images and uses arithmetic processing to analyze formation abnormalities, enabling indirect but precise measurement that balances accuracy with system complexity
2Productivity
If the vehicle performs manual operation with basic controls, then the ease of operation is high, but the productivity is limited
Solution Approach 1:
The evaluation system provides feedback about formation abnormalities to the operator or control system. By analyzing images and detecting deviations from normal formation patterns, the system delivers information that enables corrective actions, thereby improving working efficiency through informed decision-making while maintaining operational simplicity
Solution Approach 2:
The system performs automatic image capture and analysis of formed objects, enabling self-evaluation of work quality. This self-service capability allows the system to monitor and assess its own performance without requiring complex external inspection equipment, thus improving productivity while keeping the operation interface simple
3Reliability
If the vehicle operates without formation evaluation capability, then the device complexity is low, but the reliability of work quality is insufficient
Solution Approach 1:
The system performs formation evaluation during or immediately after the forming operation, enabling real-time quality assurance. By detecting formation abnormalities as they occur rather than requiring post-processing inspection, the system ensures work quality reliability while avoiding the need for separate complex inspection equipment
Solution Approach 2:
The evaluation system integrates multiple functions into a single apparatus: image capture, image processing, and formation abnormality detection are combined in one system. This multi-functionality allows the vehicle to perform both its primary working function and quality evaluation function without requiring separate dedicated inspection equipment, thus improving reliability without proportionally increasing system complexity
Data Source
AI summary
An evaluation system includes an arithmetic processor configured or programmed to perform determination about a formation abnormality in formation of a formed object formed by a working device on an agricultural field based on an image of the formed object.