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Journal Abstract Search

822 related items for PubMed ID: 25208405

  • 1. [Identification of varieties of black bean using ground based hyperspectral imaging].
    Zhang C, Liu F, Zhang HL, Kong WW, He Y.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Mar; 34(3):746-50. PubMed ID: 25208405
    [Abstract] [Full Text] [Related]

  • 2. [Producing area identification of Letinus edodes using mid-infrared spectroscopy].
    Zhu ZY, Zhang C, Liu F, Kong WW, He Y.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Mar; 34(3):664-7. PubMed ID: 25208387
    [Abstract] [Full Text] [Related]

  • 3. [Identification of Pummelo Cultivars Based on Hyperspectral Imaging Technology].
    Li XL, Yi SL, He SL, Lü Q, Xie RJ, Zheng YQ, Deng L.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Sep; 35(9):2639-43. PubMed ID: 26669182
    [Abstract] [Full Text] [Related]

  • 4. [Variety recognition of Chinese cabbage seeds by hyperspectral imaging combined with machine learning].
    Cheng SX, Kong WW, Zhang C, Liu F, He Y.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Sep; 34(9):2519-22. PubMed ID: 25532356
    [Abstract] [Full Text] [Related]

  • 5. [Discrimination of Varieties of Cabbage with Near Infrared Spectra Based on Principal Component Analysis and Successive Projections Algorithm].
    Luo W, Du YZ, Zhang HL.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Nov; 36(11):3536-41. PubMed ID: 30198665
    [Abstract] [Full Text] [Related]

  • 6. Discrimination of Trichosanthis Fructus from Different Geographical Origins Using Near Infrared Spectroscopy Coupled with Chemometric Techniques.
    Xu L, Sun W, Wu C, Ma Y, Chao Z.
    Molecules; 2019 Apr 19; 24(8):. PubMed ID: 31010152
    [Abstract] [Full Text] [Related]

  • 7. Application of near-infrared hyperspectral imaging to discriminate different geographical origins of Chinese wolfberries.
    Yin W, Zhang C, Zhu H, Zhao Y, He Y.
    PLoS One; 2017 Apr 19; 12(7):e0180534. PubMed ID: 28704423
    [Abstract] [Full Text] [Related]

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  • 10. Variety Identification of Raisins Using Near-Infrared Hyperspectral Imaging.
    Feng L, Zhu S, Zhang C, Bao Y, Gao P, He Y.
    Molecules; 2018 Nov 08; 23(11):. PubMed ID: 30412997
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  • 13. [The Classification of Wheat Varieties Based on Near Infrared Hyperspectral Imaging and Information Fusion].
    Dong G, Guo J, Wang C, Chen ZL, Zheng L, Zhu DZ.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Dec 08; 35(12):3369-74. PubMed ID: 26964212
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  • 15. [Fast Identification of Transgenic Soybean Varieties Based Near Infrared Hyperspectral Imaging Technology].
    Wang HL, Yang XD, Zhang C, Guo DQ, Bao YD, He Y, Liu F.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Jun 08; 36(6):1843-7. PubMed ID: 30052403
    [Abstract] [Full Text] [Related]

  • 16. Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties.
    Zhu S, Zhou L, Gao P, Bao Y, He Y, Feng L.
    Molecules; 2019 Sep 07; 24(18):. PubMed ID: 31500333
    [Abstract] [Full Text] [Related]

  • 17. Detection of Sclerotinia Stem Rot on Oilseed Rape (Brassica napus L.) Leaves Using Hyperspectral Imaging.
    Kong W, Zhang C, Cao F, Liu F, Luo S, Tang Y, He Y.
    Sensors (Basel); 2018 Jun 01; 18(6):. PubMed ID: 29857572
    [Abstract] [Full Text] [Related]

  • 18. [Rapid detection of nitrogen content and distribution in oilseed rape leaves based on hyperspectral imaging].
    Zhang XL, Liu F, Nie PC, He Y, Bao YD.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Sep 01; 34(9):2513-8. PubMed ID: 25532355
    [Abstract] [Full Text] [Related]

  • 19. Research on moldy tea feature classification based on WKNN algorithm and NIR hyperspectral imaging.
    Xin Z, Jun S, Xiaohong W, Bing L, Ning Y, Chunxia D.
    Spectrochim Acta A Mol Biomol Spectrosc; 2019 Jan 05; 206():378-383. PubMed ID: 30157445
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