马铃薯品质无损检测技术的研究进展  

Research Progress on Non-destructive Detection Techniques for Potatoes Quality

作　　者：杨广辉 李红岭 张华 李辉 刘小龙 贾尚云 胡博 尚奕博 YANG Guang-hui;LI Hong-ling;ZHANG Hua;LI Hui;LIU Xiao-long;JIA Shang-yun;HU Bo;SHANG Yi-bo(College of Mechanical and Electrical Engineering,Gansu Agricultural University,Lanzhou,Gansu 730070,China)

机构地区：[1]甘肃农业大学机电工程学院,甘肃兰州730070

出　　处：《粮油食品科技》2024年第6期161-169,共9页Science and Technology of Cereals,Oils and Foods

基　　金：甘肃农业大学技术转让横向项目(GSAU-JSZR-2024-004);甘肃省教育厅产业支撑计划项目(2024CYZC-32);甘肃农业大学校内自列项目(701-0722045)。

摘　　要：“十四五”以来,随着“三农工作”的不断深化,马铃薯品质检测和产品分级对马铃薯产业扩大及加工行业的发展起到了决定性作用。针对传统依靠人工进行马铃薯品质分类劳动强度大、效率低、易造成二次损伤且无法判别内部品质等问题,围绕无损检测技术阐述了国内外高光谱、近红外光谱、机器视觉、超声波等检测技术在马铃薯品质检测应用中的研究进展。通过研究分析,提出马铃薯品质无损检测技术面临的问题,对优选成像系统、多模态检测技术、算法优化、智能化检测技术进行展望,为马铃薯品质无损检测技术的深入研究和实际应用提供借鉴。Since the“14th Five-Year Plan”,with the continuous deepening of the“three rural work”,the quality inspection and grading of potatoes have played a decisive role in the expansion of the potato industry and the development of the processing industry.Aiming at the problems of traditional manual potato quality classification,such as high labor intensity,low efficiency,easy to cause secondary damage,and inability to judge internal quality,this article elaborated on the research progress of domestic and foreign hyperspectral detection technology,near-infrared spectroscopy detection technology,machine vision detection technology,and ultrasonic detection technology in the application of internal and external quality detection of potatoes.Through research and analysis,the problems facing non-destructive detection technology for potato quality were proposed,and prospects for the selection of imaging systems,multimodal detection technology,algorithm optimization,and intelligent detection technology were discussed,which could provide a reference for in-depth research and practical application of non-destructive detection technology for potato quality.

关 键 词：马铃薯 无损检测 高光谱技术 机器视觉 近红外技术 超声波技术 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] S532[自动化与计算机技术—控制科学与工程]