| 光电检测技术在马铃薯品质检测中的研究进展 |
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| 引用本文： | 屠振华,张成龙,王瑶瑶,孙君茂,朱大洲,陈早艳. 光电检测技术在马铃薯品质检测中的研究进展[J]. 农机化研究, 2019, 0(7): 8-13 |
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| 作者姓名： | 屠振华 张成龙 王瑶瑶 孙君茂 朱大洲 陈早艳 |
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| 作者单位： | 农业部农产品质量安全风险评估实验室(北京);农产品产地环境监测北京市重点实验室;食品行业生产力促进中心;农业部食物与营养发展研究所 |
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| 基金项目： | 国家重点研发计划项目(2017YFD0400403);农业部农产品质量安全风险评估实验室(北京)开放课题(kfkt201606) |
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| 摘 要： | 近年来,我国大力推动实施马铃薯主粮化战略,品质控制是重要的支撑技术,需在马铃薯的专用品种选育、主食产品加工、储藏运输及终端消费等多个产业链环节进行检测。为此,围绕马铃薯质量安全管控方面的需求,详细介绍了机器视觉技术、近红外光谱分析技术及高光谱成像技术等光电检测技术在马铃薯外观形态、内部品质及缺陷检测方面的研究和应用现状,并分析了其发展趋势,以期为马铃薯深加工过程中原料筛选和分等分级等提供参考。
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| 关 键 词： | 马铃薯 机器视觉 近红外光谱 高光谱成像 |
Research Progress of Photoelectric Detection Technology in the Quality Detection of Potato |
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| Tu Zhenhua,Zhang Chenglong,Wang Yaoyao,Sun Junmao,Zhu Dazhou,Chen Zaoyan. Research Progress of Photoelectric Detection Technology in the Quality Detection of Potato[J]. Journal of Agricultural Mechanization Research, 2019, 0(7): 8-13 |
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| Authors: | Tu Zhenhua Zhang Chenglong Wang Yaoyao Sun Junmao Zhu Dazhou Chen Zaoyan |
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| Affiliation: | (Risk Assessment Laboratory for Agro-products of the Ministry of Agriculture(Beijing),Beijing 100097,China;Beijing Municipal Key Laboratory of Agricultural Environment Monitoring,Beijing 100097,China;China Food Industry Promotion Center,Beijing 100062,China;Institute of Food and Nutrition Development,Ministry of Agriculture,Beijing 100081,China) |
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| Abstract: | In recent years,China vigorously promote the implementation of the potato staple food strategy,quality control is the key technology in this strategy,including special breeding,product processing,storage and transportation,food consumption and many other industry chain links,test is very important is these chains.This paper focused on the potato quality and safety control requirements,introduced three photoelectric detection technologies including the machine vision technology,near infrared spectroscopy analysis technology,and hyperspectral imaging technology.And introduced their application status in the detection of potato morphology,internal quality inspection and defect,and analyzed its development trend,in order to provide reference for potato deep processing in the selection of raw materials,classification etc. |
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| Keywords: | potato machine vision near infrared spectroscopy hyperspectral imaging |
| 本文献已被 CNKI 维普 等数据库收录！ |
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