高光谱成像技术在草莓品质检测中的应用  

Application of Hyperspectral Imaging Technology in Strawberry Quality Detection

作　　者：王卉 刘庆菊 栾云霞[1] 贾文珅[1] WANG Hui;LIU Qingju;LUAN Yunxia;JIA Wenshen(Institute of Quality Standard and Testing Technology,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097)

机构地区：[1]北京市农林科学院质量标准与检测技术研究所,北京100097

出　　处：《食品工业》2025年第1期138-142,共5页The Food Industry

基　　金：北京市农林科学院科技创新能力建设专项(KJCX20230438);北京市农林科学院科技创新能力建设专项(KJCX20230334)。

摘　　要：综述高光谱成像技术在草莓品质检测领域的最新研究进展,涵盖了该技术在检测草莓可溶性固形物、酸度和硬度等方面的应用。采集草莓在不同波段下的高光谱数据,并应用特征提取和建模技术,可以快速、准确地评估草莓的品质指标。然后,对高光谱成像技术在草莓品质检测中的数据处理、环境干扰以及设备成本等方面所面临的问题和挑战进行了讨论,并对高光谱成像技术在草莓品质检测中的潜力和前景进行结语和展望,为草莓品质检测提供有力的技术支持。The latest research progress in hyperspectral imaging technology for strawberry quality detection,including its applications in detecting soluble solids content,titratable acid,and firmness of strawberries,is summarized.Collecting hyperspectral data of strawberries in different wavelength bands and employing feature extraction and modeling techniques,the quality indicators of strawberries can be assessed rapidly and accurately.The challenges and issues faced by hyperspectral imaging technology in strawberry quality detection,such as data processing complexities,environmental interference,and equipment costs,are discussed.The potential and prospects of hyperspectral imaging technology in the field of strawberry quality assessment are summarized,outlining the development trends and providing robust technical support for strawberry quality determination.

关 键 词：高光谱成像 草莓 品质 无损检测 

分 类 号：S66[农业科学—果树学]