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Journal Abstract Search

150 related items for PubMed ID: 26891304

  • 1. Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions.
    Gutiérrez S, Tardaguila J, Fernández-Novales J, Diago MP.
    Sensors (Basel); 2016 Feb 16; 16(2):236. PubMed ID: 26891304
    [Abstract] [Full Text] [Related]

  • 2. Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer.
    Gutiérrez S, Tardaguila J, Fernández-Novales J, Diago MP.
    PLoS One; 2015 Feb 16; 10(11):e0143197. PubMed ID: 26600316
    [Abstract] [Full Text] [Related]

  • 3. Non-destructive assessment of grapevine water status in the field using a portable NIR spectrophotometer.
    Tardaguila J, Fernández-Novales J, Gutiérrez S, Diago MP.
    J Sci Food Agric; 2017 Aug 16; 97(11):3772-3780. PubMed ID: 28133743
    [Abstract] [Full Text] [Related]

  • 4. On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties.
    Gutiérrez S, Fernández-Novales J, Diago MP, Tardaguila J.
    Front Plant Sci; 2018 Aug 16; 9():1102. PubMed ID: 30090110
    [Abstract] [Full Text] [Related]

  • 5. Towards the automation of NIR spectroscopy to assess vineyard water status spatial-temporal variability from a ground moving vehicle.
    Fernández-Novales J, Barrio I, Diago MP.
    Sci Rep; 2023 Aug 17; 13(1):13362. PubMed ID: 37591887
    [Abstract] [Full Text] [Related]

  • 6. Potential effectiveness of visible and near infrared spectroscopy coupled with wavelength selection for real time grapevine leaf water status measurement.
    Giovenzana V, Beghi R, Parisi S, Brancadoro L, Guidetti R.
    J Sci Food Agric; 2018 Mar 17; 98(5):1935-1943. PubMed ID: 28914453
    [Abstract] [Full Text] [Related]

  • 7. [Application of successive projections algorithm to nondestructive determination of total amino acids in oilseed rape leaves].
    Liu F, Zhang F, Fang H, Jin ZL, Zhou WJ, He Y.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Nov 17; 29(11):3079-83. PubMed ID: 20101990
    [Abstract] [Full Text] [Related]

  • 8. [Identification of egg freshness using near infrared spectroscopy and one class support vector machine algorithm].
    Lin H, Zhao JW, Chen QS, Cai JR, Zhou P.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Apr 17; 30(4):929-32. PubMed ID: 20545133
    [Abstract] [Full Text] [Related]

  • 9. Assessment of mining activities on tree species and diversity in hilltop mining areas using Hyperion and Landsat data.
    Kayet N, Pathak K, Chakrabarty A, Kumar S, Singh CP, Chowdary VM.
    Environ Sci Pollut Res Int; 2020 Dec 17; 27(34):42750-42766. PubMed ID: 32720025
    [Abstract] [Full Text] [Related]

  • 10. Scenario-based discrimination of common grapevine varieties using in-field hyperspectral data in the western of Iran.
    Mirzaei M, Marofi S, Abbasi M, Solgi E, Karimi R, Verrelst J.
    Int J Appl Earth Obs Geoinf; 2019 Aug 17; 80():26-37. PubMed ID: 36081710
    [Abstract] [Full Text] [Related]

  • 11. Determination of persimmon leaf chloride contents using near-infrared spectroscopy (NIRS).
    de Paz JM, Visconti F, Chiaravalle M, Quiñones A.
    Anal Bioanal Chem; 2016 May 17; 408(13):3537-45. PubMed ID: 26935930
    [Abstract] [Full Text] [Related]

  • 12. Classification of Chicken Parts Using a Portable Near-Infrared (NIR) Spectrophotometer and Machine Learning.
    Nolasco Perez IM, Badaró AT, Barbon S, Barbon APA, Pollonio MAR, Barbin DF.
    Appl Spectrosc; 2018 Dec 17; 72(12):1774-1780. PubMed ID: 30063378
    [Abstract] [Full Text] [Related]

  • 13. A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions.
    Palacios F, Diago MP, Tardaguila J.
    Sensors (Basel); 2019 Sep 02; 19(17):. PubMed ID: 31480754
    [Abstract] [Full Text] [Related]

  • 14. Construction accident narrative classification: An evaluation of text mining techniques.
    Goh YM, Ubeynarayana CU.
    Accid Anal Prev; 2017 Nov 02; 108():122-130. PubMed ID: 28865927
    [Abstract] [Full Text] [Related]

  • 15. Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared Spectroscopy.
    Diago MP, Fernández-Novales J, Gutiérrez S, Marañón M, Tardaguila J.
    Front Plant Sci; 2018 Nov 02; 9():59. PubMed ID: 29441086
    [Abstract] [Full Text] [Related]

  • 16. [Fast detection of sugar content in fruit vinegar using NIR spectroscopy].
    Wang L, Li ZF, He Y, Liu F.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Aug 02; 28(8):1810-3. PubMed ID: 18975809
    [Abstract] [Full Text] [Related]

  • 17. Vineyard water status assessment using on-the-go thermal imaging and machine learning.
    Gutiérrez S, Diago MP, Fernández-Novales J, Tardaguila J.
    PLoS One; 2018 Aug 02; 13(2):e0192037. PubMed ID: 29389982
    [Abstract] [Full Text] [Related]

  • 18. Portable NIR-AOTF spectroscopy combined with winery FTIR spectroscopy for an easy, rapid, in-field monitoring of Sangiovese grape quality.
    Barnaba FE, Bellincontro A, Mencarelli F.
    J Sci Food Agric; 2014 Apr 02; 94(6):1071-7. PubMed ID: 24037743
    [Abstract] [Full Text] [Related]

  • 19. Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques.
    Guo D, Juan J, Chang L, Zhang J, Huang D.
    Sci Rep; 2017 Aug 15; 7(1):8303. PubMed ID: 28811508
    [Abstract] [Full Text] [Related]

  • 20. [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 15; 35(9):2639-43. PubMed ID: 26669182
    [Abstract] [Full Text] [Related]

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