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Proceedings Paper

Image recognition on raw and processed potato detection: a review
Author(s): Yan-nan Qi; Cheng-xu Lü; Jun-ning Zhang; Ya-shuo Li; Zhen Zeng; Wen-hua Mao; Han-lu Jiang; Bing-nan Yang
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Paper Abstract

Objective: Chinese potato staple food strategy clearly pointed out the need to improve potato processing, while the bottleneck of this strategy is technology and equipment of selection of appropriate raw and processed potato. The purpose of this paper is to summarize the advanced raw and processed potato detection methods. Method: According to consult research literatures in the field of image recognition based potato quality detection, including the shape, weight, mechanical damage, germination, greening, black heart, scab potato etc., the development and direction of this field were summarized in this paper. Result: In order to obtain whole potato surface information, the hardware was built by the synchronous of image sensor and conveyor belt to achieve multi-angle images of a single potato. Researches on image recognition of potato shape are popular and mature, including qualitative discrimination on abnormal and sound potato, and even round and oval potato, with the recognition accuracy of more than 83%. Weight is an important indicator for potato grading, and the image classification accuracy presents more than 93%. The image recognition of potato mechanical damage focuses on qualitative identification, with the main affecting factors of damage shape and damage time. The image recognition of potato germination usually uses potato surface image and edge germination point. Both of the qualitative and quantitative detection of green potato have been researched, currently scab and blackheart image recognition need to be operated using the stable detection environment or specific device. The image recognition of processed potato mainly focuses on potato chips, slices and fries, etc. Conclusion: image recognition as a food rapid detection tool have been widely researched on the area of raw and processed potato quality analyses, its technique and equipment have the potential for commercialization in short term, to meet to the strategy demand of development potato as staple food in China.

Paper Details

Date Published: 20 February 2018
PDF: 18 pages
Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 106972D (20 February 2018); doi: 10.1117/12.2315467
Show Author Affiliations
Yan-nan Qi, Chinese Academy of Agricultural Mechanization Sciences (China)
Cheng-xu Lü, Chinese Academy of Agricultural Mechanization Sciences (China)
Jun-ning Zhang, Chinese Academy of Agricultural Mechanization Sciences (China)
Ya-shuo Li, Chinese Academy of Agricultural Mechanization Sciences (China)
Zhen Zeng, State Intellectual Property Office (China)
Wen-hua Mao, Chinese Academy of Agricultural Mechanization Sciences (China)
Han-lu Jiang, Chinese Academy of Agricultural Mechanization Sciences (China)
Bing-nan Yang, Chinese Academy of Agricultural Mechanization Sciences (China)


Published in SPIE Proceedings Vol. 10697:
Fourth Seminar on Novel Optoelectronic Detection Technology and Application
Weiqi Jin; Ye Li, Editor(s)

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