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中国精品科技期刊2020
胡逸磊,姜洪喆,周宏平,等. 水果成熟度近红外光谱及高光谱成像无损检测研究进展[J]. 食品工业科技,2021,42(20):377−383. doi: 10.13386/j.issn1002-0306.2020070074.
引用本文: 胡逸磊,姜洪喆,周宏平,等. 水果成熟度近红外光谱及高光谱成像无损检测研究进展[J]. 食品工业科技,2021,42(20):377−383. doi: 10.13386/j.issn1002-0306.2020070074.
HU Yilei, JIANG Hongzhe, ZHOU Hongping, et al. Research Progress on Nondestructive Detection of Fruit Maturity by Near Infrared Spectroscopy and Hyperspectral Imaging[J]. Science and Technology of Food Industry, 2021, 42(20): 377−383. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2020070074.
Citation: HU Yilei, JIANG Hongzhe, ZHOU Hongping, et al. Research Progress on Nondestructive Detection of Fruit Maturity by Near Infrared Spectroscopy and Hyperspectral Imaging[J]. Science and Technology of Food Industry, 2021, 42(20): 377−383. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2020070074.

水果成熟度近红外光谱及高光谱成像无损检测研究进展

Research Progress on Nondestructive Detection of Fruit Maturity by Near Infrared Spectroscopy and Hyperspectral Imaging

  • 摘要: 成熟度作为一项水果品质重要评价指标,与水果的采收、储存、加工、运输、销售等环节息息相关,也是其产量和质量的关键影响因素之一。本文综述了国内外近十年来利用近红外光谱和高光谱成像技术检测水果成熟度的研究现状。从水果成熟度定性判别和成熟度参数定量预测两个方面入手,详细分析了光谱仪器工作波段、光谱采集方式、光谱采样区域、成熟度表征因子、单一成熟度参数、多元成熟度指数对最终检测模型精度和稳定性的影响,最后展望了近红外光谱和高光谱成像技术在水果成熟度检测方向的未来发展趋势,以期为相关领域研究工作提供科学依据和技术参考。

     

    Abstract: Maturity, as an essential evaluation index of fruit quality, is closely related to the harvest, storage, processing, transportation, sales and other links of fruit, and is also one of the key factors affecting its output and quality. In this paper, the research status of fruit maturity detection using near-infrared spectroscopy and hyperspectral imaging technology in the recent ten years are reviewed. Starting from qualitative identification of fruit maturity and quantitative prediction of maturity parameters, the effects of spectral instrument working band, spectral acquisition mode, spectral sampling area, maturity characterization factor, single maturity parameter, and multiple maturity index on the accuracy and stability of the final detection model were analyzed in detail. Finally, the development trend of near-infrared spectroscopy and hyperspectral imaging technology in fruit maturity detection has been prospected in order to provide a scientific basis and technical reference for related research work.

     

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