Image-Based Ridge Formation Evaluation for Agricultural Vehicles
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Solution Overview
Problem
Existing agricultural traveling vehicles lack the capability to determine formation abnormalities in formed objects on agricultural fields, such as ridges, which can affect the quality of field formation.
Innovation Solution
An evaluation system and method using an arithmetic processor to analyze images of formed objects, detect deviations from normal shapes, and provide notifications or adjust operations based on formation abnormalities, incorporating sensors and controllers for manual or automatic operation adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If agricultural traveling vehicle is configured to identify direction of formed object, then traveling control capability is improved, but capability to determine formation abnormality deteriorates (completely absent)
Solution Approach 1:
The evaluation system integrates multiple functions into a single system: it processes images to detect formation abnormalities, calculates deviation degrees, generates evaluation results, and provides notifications. This multi-functional integration resolves the contradiction by adding abnormality determination capability without requiring separate dedicated systems, thus maintaining operational simplicity while enhancing measurement precision.
Solution Approach 2:
The arithmetic processor acts as an intermediary between the image capture device and the control system. It receives images, performs abnormality detection through deviation calculation, and outputs evaluation results that can trigger notifications or control adjustments. This intermediary processing layer enables formation abnormality determination while keeping the overall system architecture simple and integrated.
2Measurement precision
If abnormality detection processing is added to calculate degree of deviation, then formation abnormality determination capability is improved, but device complexity deteriorates
Solution Approach 1:
The system replaces complex mechanical inspection methods with image-based electronic processing. Instead of physical measurement devices or manual inspection, the system uses image capture and arithmetic processing to detect formation abnormalities. This substitution reduces mechanical complexity while enhancing measurement precision through digital image analysis.
Solution Approach 2:
The system creates a digital copy (image) of the formed object and performs all analysis on this copy rather than requiring direct physical measurement. The arithmetic processor works with image data to calculate deviation degrees, enabling precise abnormality detection without adding physical measurement complexity to the actual field equipment.
3Reliability
If notification system is added for manual operation, then quality control capability is improved, but device complexity deteriorates
Solution Approach 1:
The notification system provides feedback to the operator when formation abnormalities are detected. The arithmetic processor continuously evaluates formed objects and triggers notifications when deviation degrees exceed thresholds. This feedback mechanism improves quality control by enabling timely operator intervention without requiring complex automated control systems, thus maintaining relatively simple device architecture.
4Reliability
If automatic operation control is modified based on formation abnormality, then quality control capability is improved, but device complexity deteriorates
Solution Approach 1:
The control system uses feedback from the evaluation results to automatically adjust operations. When formation abnormalities are detected, the controller modifies control content to correct the issue. This feedback-based automatic control improves quality reliability while keeping the control logic relatively simple, as it only requires threshold-based decision making rather than complex multi-variable control algorithms.
Data Source
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AI summary
An evaluation system (S) includes an arithmetic processor (20c) configured or programmed to perform determination about a formation abnormality in formation of a formed object formed by a working device (2) on an agricultural field based on an image of the formed object.