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Vineyard water status assessment using on-the-go thermal imaging and machine learning.

Gutiérrez S, Diago MP, Fernández-Novales J, Tardaguila J. Gutiérrez S, et al. Among authors: tardaguila j. PLoS One. 2018 Feb 1;13(2):e0192037. doi: 10.1371/journal.pone.0192037. eCollection 2018. PLoS One. 2018. PMID: 29389982 Free PMC article.

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Assessment of cluster yield components by image analysis.

Diago MP, Tardaguila J, Aleixos N, Millan B, Prats-Montalban JM, Cubero S, Blasco J. Diago MP, et al. Among authors: tardaguila j. J Sci Food Agric. 2015 Apr;95(6):1274-82. doi: 10.1002/jsfa.6819. Epub 2014 Aug 12. J Sci Food Agric. 2015. PMID: 25041796

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Geographical and Cultivar Features Differentiate Grape Microbiota in Northern Italy and Spain Vineyards.

Mezzasalma V, Sandionigi A, Guzzetti L, Galimberti A, Grando MS, Tardaguila J, Labra M. Mezzasalma V, et al. Among authors: tardaguila j. Front Microbiol. 2018 May 15;9:946. doi: 10.3389/fmicb.2018.00946. eCollection 2018. Front Microbiol. 2018. PMID: 29867854 Free PMC article.

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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. Gutiérrez S, et al. Among authors: tardaguila j. Front Plant Sci. 2018 Jul 25;9:1102. doi: 10.3389/fpls.2018.01102. eCollection 2018. Front Plant Sci. 2018. PMID: 30090110 Free PMC article.

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Image analysis-based modelling for flower number estimation in grapevine.

Millan B, Aquino A, Diago MP, Tardaguila J. Millan B, et al. Among authors: tardaguila j. J Sci Food Agric. 2017 Feb;97(3):784-792. doi: 10.1002/jsfa.7797. Epub 2016 Jun 7. J Sci Food Agric. 2017. PMID: 27173452

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On-The-Go VIS + SW - NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard.

Fernández-Novales J, Tardáguila J, Gutiérrez S, Paz Diago M. Fernández-Novales J, et al. Among authors: tardaguila j. Molecules. 2019 Jul 31;24(15):2795. doi: 10.3390/molecules24152795. Molecules. 2019. PMID: 31370313 Free PMC article.

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Assessment of amino acids and total soluble solids in intact grape berries using contactless Vis and NIR spectroscopy during ripening.

Fernández-Novales J, Garde-Cerdán T, Tardáguila J, Gutiérrez-Gamboa G, Pérez-Álvarez EP, Diago MP. Fernández-Novales J, et al. Among authors: tardaguila j. Talanta. 2019 Jul 1;199:244-253. doi: 10.1016/j.talanta.2019.02.037. Epub 2019 Feb 8. Talanta. 2019. PMID: 30952253

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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. Palacios F, et al. Among authors: tardaguila j. Sensors (Basel). 2019 Sep 2;19(17):3799. doi: 10.3390/s19173799. Sensors (Basel). 2019. PMID: 31480754 Free PMC article.

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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. Diago MP, et al. Among authors: tardaguila j. Front Plant Sci. 2018 Jan 30;9:59. doi: 10.3389/fpls.2018.00059. eCollection 2018. Front Plant Sci. 2018. PMID: 29441086 Free PMC article.

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Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions.

Gutiérrez S, Tardaguila J, Fernández-Novales J, Diago MP. Gutiérrez S, et al. Among authors: tardaguila j. Sensors (Basel). 2016 Feb 16;16(2):236. doi: 10.3390/s16020236. Sensors (Basel). 2016. PMID: 26891304 Free PMC article.

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