高光谱成像技术在苹果品质无损检测中的应用  

Application of hyperspectral imaging technology in non-destructive de-tection of apple quality

作　　者：董聪颖 杨天意 陈谦 刘丽[1,3] 肖雄[1] 魏志峰 石彩云[1] 邵亚杰 高登涛 DONG Congying;YANG Tianyi;CHEN Qian;LIU Li;XIAO Xiong;WEI Zhifeng;SHI Caiyun;SHAO Yajie;GAO Dengtao(Zhengzhou Fruit Research Institute,CAAS,Zhengzhou 450009,Henan,China;Institute of Agricultural Resources and Regional Plan-ning,CAAS,Beijing 100081,China;Zhongyuan Research Center,CAAS,Xinxiang 453500,Henan,China;Institute of Western Agricul-ture,CAAS,Changji 831100,Xinjiang,China)

机构地区：[1]中国农业科学院郑州果树研究所,郑州450009 [2]中国农业科学院农业资源与农业区划研究所,北京100081 [3]中国农业科学院中原研究中心,河南新乡453500 [4]中国农业科学院西部农业研究中心,新疆昌吉831100

出　　处：《果树学报》2024年第12期2582-2594,共13页Journal of Fruit Science

基　　金：河南省重点研发专项(241111113500);河南省科技攻关项目(232102110036);中央级公益性科研院所基本科研业务费专项(1610192023105)。

摘　　要：中国是世界最大的苹果生产国,品质是苹果质量最重要的评价指标,传统的品质检测方法费时、费力且具有破坏性,特别是对果实内部品质难以实现规模化检测和品质等级划分,开展苹果品质快速、无损检测技术研究是实现中国苹果产业高质量发展的迫切需求。高光谱成像技术融合了传统成像技术和光谱分析技术,能够获取大量包含连续波长信息的图像块,提供关于待测目标的光谱和图像信息,光谱信息可用于对水果内部品质的检测,图像信息则可检测水果的外部品质,是近年来发展迅速的一项果品品质无损检测技术。为了进一步了解国内外高光谱成像技术在苹果品质检测中应用的研究进展,简介了高光谱成像技术的基本原理和常用的数据处理方法,综述了高光谱技术在苹果内外部品质检测上的应用,如可溶性固形物含量、可滴定酸含量、硬度、含水量等内部品质,损伤与缺陷、病虫害、农药残留等外部品质,最后指出了目前该技术在应用过程中存在的问题,并展望了该技术未来在苹果上的发展趋势,以期为今后苹果品质快速、无损检测提供新的思路。Apple is one of the most important fruit trees in the world.The external quality of apples,in-cluding color,size,peel damage,defects,etc.,is the most direct feature that affects whether consumers buy or not,and the internal quality including soluble solids,titratable acid,hardness,etc.,is essential to affect the nutritional value and sensory experience.Therefore,both internal and external qualities affect the market value of apples.It is very important to detect and evaluate the internal and external quality of apples after harvest.Traditional quality detection methods rely mainly on manual and instrumental methods,including mass spectrometry,high performance liquid chromatography,refractometry,and di-rect observation method.However,although these methods are highly precise,they have the disadvan-tages of being time-consuming,destructive,and difficult in detection on a large scale,especially detec-tion of external quality with the naked eye would be affected by subjectivity.Therefore,in order to re-duce the limitations of traditional methods in fruit quality detection,developing an accurate,rapid and non-destructive fruit quality analysis method for quality detection and grading is essential.In recent years,non-destructive detecting has been widely used in fruit quality detection.At present,the common-ly used non-destructive detecting technologies include near-infrared detection technology,fluorescence imaging detection technology,hyperspectral imaging technology,etc.Compared with the first two meth-ods,hyperspectral imaging technology not only combines imaging technology with spectral technology,but can also obtain two-dimensional spatial information and one-dimensional spectral data at the same time,which consequently enables obtaining multiple dimension information with higher resolution.The image information obtained by hyperspectral imaging technology can be used to detect and evaluate the external quality,while the spectral information can be used to detect the internal quality.Therefore,hy-perspectral imag

关 键 词：苹果品质 高光谱成像技术 无损检测 

分 类 号：S661.1[农业科学—果树学]