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Journal Abstract Search

142 related items for PubMed ID: 28133743

  • 1. 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; 97(11):3772-3780. PubMed ID: 28133743
    [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 Aug; 10(11):e0143197. PubMed ID: 26600316
    [Abstract] [Full Text] [Related]

  • 3. 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; 98(5):1935-1943. PubMed ID: 28914453
    [Abstract] [Full Text] [Related]

  • 4. 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]

  • 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. 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 17; 94(6):1071-7. PubMed ID: 24037743
    [Abstract] [Full Text] [Related]

  • 7. 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 Apr 17; 9():59. PubMed ID: 29441086
    [Abstract] [Full Text] [Related]

  • 8. Feasibility study on the use of a portable micro near infrared spectroscopy device for the "in vineyard" screening of extractable polyphenols in red grape skins.
    Baca-Bocanegra B, Hernández-Hierro JM, Nogales-Bueno J, Heredia FJ.
    Talanta; 2019 Jan 15; 192():353-359. PubMed ID: 30348402
    [Abstract] [Full Text] [Related]

  • 9. Fast and local assessment of stilbene content in grapevine leaf by in vivo fluorometry.
    Poutaraud A, Latouche G, Martins S, Meyer S, Merdinoglu D, Cerovic ZG.
    J Agric Food Chem; 2007 Jun 27; 55(13):4913-20. PubMed ID: 17542609
    [Abstract] [Full Text] [Related]

  • 10. Portable visible and near-infrared spectrophotometer for triglyceride measurements.
    Kobayashi T, Kato YH, Tsukamoto M, Ikuta K, Sakudo A.
    Int J Mol Med; 2009 Jan 27; 23(1):75-9. PubMed ID: 19082509
    [Abstract] [Full Text] [Related]

  • 11. A feasibility study on the use of visible and short wavelengths in the near-infrared region for the non-destructive measurement of wine composition.
    Cozzolino D, Kwiatkowski MJ, Waters EJ, Gishen M.
    Anal Bioanal Chem; 2007 Mar 27; 387(6):2289-95. PubMed ID: 17203262
    [Abstract] [Full Text] [Related]

  • 12. Field phenotyping of grapevine growth using dense stereo reconstruction.
    Klodt M, Herzog K, Töpfer R, Cremers D.
    BMC Bioinformatics; 2015 May 06; 16():143. PubMed ID: 25943369
    [Abstract] [Full Text] [Related]

  • 13. Near-infrared spectroscopy for the prediction of disease ratings for Fiji leaf gall in sugarcane clones.
    Purcell DE, O'Shea MG, Johnson RA, Kokot S.
    Appl Spectrosc; 2009 Apr 06; 63(4):450-7. PubMed ID: 19366512
    [Abstract] [Full Text] [Related]

  • 14. Rapid monitoring of grape withering using visible near-infrared spectroscopy.
    Beghi R, Giovenzana V, Marai S, Guidetti R.
    J Sci Food Agric; 2015 Dec 06; 95(15):3144-9. PubMed ID: 25523419
    [Abstract] [Full Text] [Related]

  • 15. Feasibility study on the use of near infrared spectroscopy to determine flavanols in grape seeds.
    Ferrer-Gallego R, Hernández-Hierro JM, Rivas-Gonzalo JC, Escribano-Bailón MT.
    Talanta; 2010 Oct 15; 82(5):1778-83. PubMed ID: 20875576
    [Abstract] [Full Text] [Related]

  • 16. Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations.
    Martín-Tornero E, de Jorge Páscoa RNM, Espinosa-Mansilla A, Martín-Merás ID, Lopes JA.
    Sci Rep; 2020 Apr 10; 10(1):6246. PubMed ID: 32277161
    [Abstract] [Full Text] [Related]

  • 17. Estimation of Sugar Content in Wine Grapes via In Situ VNIR-SWIR Point Spectroscopy Using Explainable Artificial Intelligence Techniques.
    Kalopesa E, Karyotis K, Tziolas N, Tsakiridis N, Samarinas N, Zalidis G.
    Sensors (Basel); 2023 Jan 17; 23(3):. PubMed ID: 36772104
    [Abstract] [Full Text] [Related]

  • 18. Near infrared spectroscopy for prediction of antioxidant compounds in the honey.
    Escuredo O, Seijo MC, Salvador J, González-Martín MI.
    Food Chem; 2013 Dec 15; 141(4):3409-14. PubMed ID: 23993500
    [Abstract] [Full Text] [Related]

  • 19. 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 Dec 15; 9():1102. PubMed ID: 30090110
    [Abstract] [Full Text] [Related]

  • 20. Near-infrared spectroscopy and X-ray fluorescence data fusion for olive leaf analysis and crop nutritional status determination.
    Comino F, Ayora-Cañada MJ, Aranda V, Díaz A, Domínguez-Vidal A.
    Talanta; 2018 Oct 01; 188():676-684. PubMed ID: 30029431
    [Abstract] [Full Text] [Related]

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