3D Plant Pest Detection During Cultivation Work
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Solution Overview
Problem
Conventional pest and disease detection systems fail to account for the entire plant structure, leading to potential oversight of diseases in unseen parts, especially when workers focus on lower plant sections, resulting in incomplete detection.
Innovation Solution
A processing device that captures plant images using a wearable camera, analyzes them to detect pests or diseases, and calculates detection positions as three-dimensional coordinates, ensuring comprehensive coverage by integrating planar and height positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If workers observe only the lower parts of plants during cultivation work, then work efficiency is improved, but detection completeness deteriorates
Solution Approach 1:
The patent transitions from two-dimensional map-based pest and disease recording to three-dimensional position information that includes planar position and height position. This dimensional enhancement allows the system to track detection status across different vertical levels of the plant, enabling comprehensive monitoring without requiring workers to physically observe every section, thus maintaining work efficiency while improving detection completeness
Solution Approach 2:
The system implements feedback mechanisms where the management server receives detection results with three-dimensional position information and provides guidance information back to workers. This feedback loop ensures that even when workers focus on specific areas for efficiency, the system tracks what has been observed and identifies remaining undetected areas, maintaining overall detection completeness
2Loss of time
If workers focus on specific plant sections during work, then work time is reduced, but detection accuracy deteriorates
Solution Approach 1:
The wearable terminal serves multiple functions: it captures images during normal cultivation work, automatically extracts plant and pest/disease information, and records three-dimensional position data. This multi-functionality allows workers to perform both cultivation tasks and pest/disease detection simultaneously, reducing work time while maintaining detection accuracy through automated analysis
Solution Approach 2:
The system enables self-service detection where the wearable terminal automatically performs image capture, analysis, and position tracking without requiring manual intervention for each detection task. The terminal autonomously processes images to identify pests and diseases and records their three-dimensional positions, maintaining detection accuracy while minimizing the time workers need to dedicate to observation
Data Source
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AI summary
To prevent overlooking detection of pests or diseases during work on plants. A processing device includes: an imaging unit that images a plant while a worker is performing work on the plant to generate an image of the plant; a detection unit that analyzes the image of the plant to detect the presence or absence of a pest or disease on the plant and outputs a detection result; and a calculation unit that calculates a detection position where the presence or absence of the pest or disease on the plant is detected as three-dimensional position information including a planar position and a height position.