2023
DOI: 10.3390/s23146331
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A Novel Method for Filled/Unfilled Grain Classification Based on Structured Light Imaging and Improved PointNet++

Abstract: China is the largest producer and consumer of rice, and the classification of filled/unfilled rice grains is of great significance for rice breeding and genetic analysis. The traditional method for filled/unfilled rice grain identification was generally manual, which had the disadvantages of low efficiency, poor repeatability, and low precision. In this study, we have proposed a novel method for filled/unfilled grain classification based on structured light imaging and Improved PointNet++. Firstly, the 3D poin… Show more

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