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Journal Abstract Search

125 related items for PubMed ID: 20672621

  • 1. [Development of citrus yield prediction model based on airborne hyperspectral imaging].
    Ye XJ, Kenshi S, He Y.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2010 May; 30(5):1295-300. PubMed ID: 20672621
    [Abstract] [Full Text] [Related]

  • 2. [Development of prediction models for determining N content in citrus leaves based on hyperspectral imaging technology].
    Li JM, Ye XJ, Wang QN, Zhang C, He Y.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Jan; 34(1):212-6. PubMed ID: 24783563
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  • 3. Estimation of the Yield and Plant Height of Winter Wheat Using UAV-Based Hyperspectral Images.
    Tao H, Feng H, Xu L, Miao M, Yang G, Yang X, Fan L.
    Sensors (Basel); 2020 Feb 24; 20(4):. PubMed ID: 32102358
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  • 4. [Determination of photosynthetic pigments in citrus leaves based on hyperspectral images datas].
    Tian X, He SL, Lü Q, Yi SL, Xie RJ, Zheng YQ, Liao QH, Deng L.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Sep 24; 34(9):2506-12. PubMed ID: 25532354
    [Abstract] [Full Text] [Related]

  • 5. Prediction of Soluble-Solid Content in Citrus Fruit Using Visible-Near-Infrared Hyperspectral Imaging Based on Effective-Wavelength Selection Algorithm.
    Kim MJ, Yu WH, Song DJ, Chun SW, Kim MS, Lee A, Kim G, Shin BS, Mo C.
    Sensors (Basel); 2024 Feb 26; 24(5):. PubMed ID: 38475048
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  • 7. Determination of origin and sugars of citrus fruits using genetic algorithm, correspondence analysis and partial least square combined with fiber optic NIR spectroscopy.
    Tewari JC, Dixit V, Cho BK, Malik KA.
    Spectrochim Acta A Mol Biomol Spectrosc; 2008 Dec 01; 71(3):1119-27. PubMed ID: 18424176
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  • 8. [Estimation and Visualization of Nitrogen Content in Citrus Canopy Based on Two Band Vegetation Index (TBVI)].
    Wang QN, Ye XJ, Li JM, Xiao YZ, He Y.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Mar 01; 35(3):715-8. PubMed ID: 26117885
    [Abstract] [Full Text] [Related]

  • 9. Chemometrics-assisted simultaneous voltammetric determination of ascorbic acid, uric acid, dopamine and nitrite: application of non-bilinear voltammetric data for exploiting first-order advantage.
    Gholivand MB, Jalalvand AR, Goicoechea HC, Skov T.
    Talanta; 2014 Feb 01; 119():553-63. PubMed ID: 24401455
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  • 11. [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 01; 35(9):2639-43. PubMed ID: 26669182
    [Abstract] [Full Text] [Related]

  • 12. Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning.
    Sun C, Feng L, Zhang Z, Ma Y, Crosby T, Naber M, Wang Y.
    Sensors (Basel); 2020 Sep 16; 20(18):. PubMed ID: 32947919
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  • 15. Development of a partial least squares-artificial neural network (PLS-ANN) hybrid model for the prediction of consumer liking scores of ready-to-drink green tea beverages.
    Yu P, Low MY, Zhou W.
    Food Res Int; 2018 Jan 16; 103():68-75. PubMed ID: 29389644
    [Abstract] [Full Text] [Related]

  • 16. [Nondestructive discrimination of waxed apples based on hyperspectral imaging technology].
    Gao JF, Zhang HL, Kong WW, He Y.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Jul 16; 33(7):1922-6. PubMed ID: 24059202
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  • 18. [Detection of Hawthorn Fruit Defects Using Hyperspectral Imaging].
    Liu DH, Zhang SJ, Wang B, Yu KQ, Zhao YR, He Y.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Nov 16; 35(11):3167-71. PubMed ID: 26978929
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