可见-近红外高光谱成像技术对灵武长枣VC含量的无损检测方法.docx

可见-近红外高光谱成像技术对灵武长枣VC含量的无损检测方法
摘要：
灵武长枣是中国传统特色农产品之一，极富营养价值，其VC含量是决定其质量的关键因素。然而传统的VC检测方法存在诸多缺陷，无法满足快速检测大量样品的需求。因此，本文提出了一种基于可见-近红外高光谱成像技术的无损检测方法，旨在提高灵武长枣VC含量的检测速度和准确性，并为其质量控制提供依据。
首先，本文介绍了灵武长枣的卫星遥感数据和样品采集方法，并对其VC含量进行了测定，得到了一定的基础数据。然后，本文详细解释了可见-近红外高光谱成像技术的原理和优越性，包括其对样品的非破坏性、高精度、高效率，以及对采集数据的快速处理和分析能力。接着，本文通过实验验证了该方法的可行性和可靠性，结果表明，可见-近红外高光谱成像技术对灵武长枣VC含量的无损检测表现出良好的检测效果和高度的一致性，与传统方法相比明显优势明显。最后，本文总结了该技术的发展前景和应用前景，并探讨了其可能的研究方向。
关键词：灵武长枣，VC含量，可见-近红外高光谱成像技术，无损检测，质量控制
Abstract:
LingwujujubeisoneofthetraditionalcharacteristicagriculturalproductsinChina,whichisrichinnutrition.TheVCcontentofLingwujujubeisakeyfactordeterminingitsquality.However,traditionalVCdetectionmethodshavemanyshortcomingsandcannotmeettheneedsofrapiddetectionoflargequantitiesofsamples.Therefore,thispaperproposesanon-destructivedetectionmethodbasedonvisible-near-infraredhyperspectralimagingtechnology,aimingatimprovingthedetectionspeedandaccuracyofLingwujujubeVCcontent,andprovidingabasisforitsqualitycontrol.
Firstly,thispaperintroducesthesatelliteremotesensingdataandsamplecollectionmethodofLingwujujube,andmeasuresitsVCcontenttoobtainsomebasicdata.Then,thispaperexplainsindetailtheprincipleandsuperiorityofvisible-near-infraredhyperspectralimagingtechnology,includingitsnon-destructive,high-precision,high-efficiencytothesample,andthecapabilitytoquicklyprocessandanalyzethecollecteddata.Next,thispaperverifiesthefeasibilityandreliabilityofthemethodthroughexperiments.Theresultsshowthatthenon-destructivedetectionoftheVCcontentofLingwujujubebyvisible-near-infraredhyperspectralimagingtechnologyexhibitsgooddetectioneffectandhighconsistency,whichisobviouslysuperiortothetraditionalmethods.Finally,thispapersummarizesthedevelopmentprospectsandapplicationprospectsofthetechnology,andexploresitspossibleresearchdirections.
Keywords:Lingwujujube,VCcontent,visible-near-infraredhyperspectralimagingtechnology,non-destructivedetection,qualitycontrol
1.简介
灵武长枣是特色农产品中的佼佼者，以其口感鲜美、营养丰富、产地集中等特点，备受消费者青睐。其中，VC含量是决定灵武长枣质量的重要指标之一。传统的VC含量检测方法包括色谱法等离