Method and Experiment for Measuring Grain Flow based on Multi-View Stereo Vision
DOI:
https://doi.org/10.6919/ICJE.202411_10(11).0001Keywords:
Multi-View Stereo Vision; 3D Reconstruction; Yield Monitoring; Precision Agriculture.Abstract
The yield monitoring system is a key technology for real-time acquisition of yield data and refined field management in precision agriculture. This paper focuses on the scraper elevator of a large combine harvester and proposes a real-time measurement method for grain flow based on multi-view stereo vision. A discrete element simulation was conducted to analyze the grain conveying process of the scraper elevator, examining the accumulation state of the grain above the scraper. By installing auxiliary light sources on the scraper's sidewall and using multiple industrial cameras to capture images from different angles of the scraper's side and front, high-speed modeling and volume measurement of the accumulated grain on the conveying scraper were achieved through multi-view 3D reconstruction technology, enabling the detection of grain flow during the harvesting process.
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