2022
DOI: 10.48550/arxiv.2210.02665
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Vision-Based Defect Classification and Weight Estimation of Rice Kernels

Xiang Wang,
Kai Wang,
Xiaohong Li
et al.

Abstract: Rice is one of the main staple food in many areas of the world. The quality estimation of rice kernels are crucial in terms of both food safety and socio-economic impact. This was usually carried out by quality inspectors in the past, which may result in both objective and subjective inaccuracies. In this paper, we present an automatic visual quality estimation system of rice kernels, to classify the sampled rice kernels according to their types of flaws, and evaluate their quality via the weight ratios of the… Show more

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