摘要
稻米、小麦、玉米作为三大主粮在我国居民粮食结构中占有重要位置,粮食生产、加工、储运等产业链中品质监测是不可或缺的重要环节,特别是高效、无损、客观、实时的光学品质检测对粮食行业的健康发展具有重要意义。本文对比分析了三大主粮的可见/近红外光谱、拉曼光谱、荧光光谱的光学特性及内部品质光学检测机理,总结分析了粮食内部品质光学检测技术国内外应用研究现状,探讨了机器视觉、高光谱等粮食外观品质检测技术应用范围及国内外研究现状。结合三大主粮特定的品质检测需求,总结分析了国内外粮食内部品质光学检测装置研究现状,重点探讨了外观品质检测装置的硬件组成和空间排布研究现状,并总结分析了各光学检测技术相关装置的商业化推广应用情况。最后,从粮食品质光学检测技术瓶颈出发,对粮食快速光学检测技术及装备存在的问题和发展趋势进行了分析展望。
As the three main grains in China, rice/paddy, wheat and corn play an important role in the food structure of Chinese residents. Quality monitoring is an indispensable and important link in the industrial chain of grain production, processing, storage and transportation. In particular, efficient, nondestructive, objective and real-time optical quality detection is of great significance to the healthy development of the grain industry. Firstly, the optical characteristics of visible/near-infrared spectrum, Raman spectrum and fluorescence spectrum of three main grains as well as the optical detection mechanism of internal quality were compared and analyzed. The application and research status of optical detection technology for internal quality of grain at home and abroad was summarized and analyzed. The application scope and research status of machine vision, hyperspectral and other grain appearance quality detection technologies was discussed. Secondly, combined with the specific quality detection needs of the three main grains, the research and development status of optical detection devices for grain internal quality at home and abroad was summarized and analyzed. The research status of hardware composition and spatial arrangement of appearance quality detection devices was emphatically discussed, and the commercialization and application of optical detection technology related devices were analyzed. Finally, from the bottleneck of optical detection technology of grain quality, the problems and development trend of fast optical detection technology and its equipment were prospected.
作者
聂森
马劭瑾
彭彦昆
王威
李永玉
NIE Sen;MA Shaojin;PENG Yankun;WANG Wei;LI Yongyu(College of Engineering,China Agricultural University,Beijing 100083,China)
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2022年第11期1-12,共12页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家重点研发计划项目(2021YFD1600101)
关键词
粮食
品质
无损检测
光谱技术
机器视觉
grain
quality
non-destructive detection
spectroscopic technology
machine vision
