A wheat seed metering detection system based on machine vision
The machine vision-based wheat seeding detection system solves the problem of low accuracy in existing wheat seeding detection technologies, enabling efficient and real-time seeding quantity analysis and anomaly alarms, thereby improving seeding uniformity and field management effectiveness.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHIHEZI UNIVERSITY
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing detection methods are insufficient for accurately and efficiently analyzing and processing the target sowing amount of 4-6 seeds per hill during wheat seeding. The detection accuracy is low, which affects the uniformity of sowing and the effectiveness of field management.
A machine vision-based wheat seeding detection system is adopted, including a seeding tube, a camera, a processor, a display, and an alarm. The system uses a CCD camera to collect image data, analyzes it using a MATLAB image processor and an STM32 processor, generates a pixel image and value of the wheat seed area, and sends an alarm to indicate anomalies.
It achieves efficient and real-time analysis of the target seeding amount per hole, with high detection accuracy, low cost, support for massive sample detection, avoids seed consumption, has human-computer interaction function, and meets the error accuracy requirements.
Smart Images
Figure CN122409645A_ABST