Publications by the researcher in collaboration with Jorge Gago Mariño (14)

2018

  1. Measuring photosynthesis and respiration with infrared gas analysers

    Advances in Plant Ecophysiology Techniques (Springer International Publishing), pp. 51-75

2015

  1. UAVs challenge to assess water stress for sustainable agriculture

    Agricultural Water Management, Vol. 153, pp. 9-19

2014

  1. Modeling the effects of light and sucrose on in vitro propagated plants: A multiscale system analysis using artificial intelligence technology

    PLoS ONE, Vol. 9, Núm. 1

  2. Up-scaling levels for drought assessment in agriculture: from leaf to the whole-vineyard

    I Jornada del Grupo de Viticultura y Enología: Comunicaciones, Logroño, 19 y 20 de noviembre, 2014

2011

  1. Artificial Neural Networks Technology to Model and Predict Plant Biology Process

    ARTIFICIAL NEURAL NETWORKS - METHODOLOGICAL ADVANCES AND BIOMEDICAL APPLICATIONS (INTECH EUROPE), pp. 197-216

  2. Improving knowledge of plant tissue culture and media formulation by neurofuzzy logic: A practical case of data mining using apricot databases

    Journal of Plant Physiology, Vol. 168, Núm. 15, pp. 1858-1865

  3. Vascular-specific expression of GUS and GFP reporter genes in transgenic grapevine (Vitis vinifera L. cv. Albariño) conferred by the EgCCR promoter of Eucalyptus gunnii

    Plant Physiology and Biochemistry, Vol. 49, Núm. 4, pp. 413-419

2010

  1. A neurofuzzy logic approach for modeling plant processes: A practical case of in vitro direct rooting and acclimatization of Vitis vinifera L.

    Plant Science, Vol. 179, Núm. 3, pp. 241-249

  2. Artificial neural networks as an alternative to the traditional statistical methodology in plant research

    Journal of Plant Physiology, Vol. 167, Núm. 1, pp. 23-27

  3. Artificial neural networks modeling the in vitro rhizogenesis and acclimatization of Vitis vinifera L.

    Journal of Plant Physiology, Vol. 167, Núm. 15, pp. 1226-1231

  4. Strengths of artificial neural networks in modelling complex plant processes

    Plant Signaling and Behavior, Vol. 5, Núm. 6, pp. 743-745

2009

  1. Biotecnología de vitis vinifera: modelización mediante inteligencia artificial

    Biotecnología de vitis vinifera: modelización mediante inteligencia artificial

  2. Effect of three auxins and sucrose on in vitro rooting in soil and acclimatization of Vitis vinifera L. 'Albariño'

    Acta Horticulturae, Vol. 812, pp. 359-364

2005

  1. Optimización de la fase de enraizamiento de "Vitis vinifera L." ; cultivares Albariño y Mencía

    XXVI Jornadas de Viticultura y Enología de la Tierra de Barros: Cultural Santa Ana, Centro Universitario, Almendralejo. Del 3 al 7 de mayo de 2004