Potato Quality Grading Based on Depth Imaging and Convolutional Neural Network

Potato Quality Grading Based on Depth Imaging and Convolutional Neural Network

As a cost-effective and nondestructive detection method, the machine vision technology has been widely applied in the detection of potato defects. Recently, the depth camera which supports range sensing has been used for potato surface defect detection, such as bumps and hollows. In this study, we d...

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Bibliographic Details
Main Authors:	Qinghua Su, Naoshi Kondo, Dimas Firmanda Al Riza, Harshana Habaragamuwa
Format:	Article
Language:	English
Published:	Wiley 2020-01-01
Series:	Journal of Food Quality
Online Access:	http://dx.doi.org/10.1155/2020/8815896
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