Publicaciones (15) Publicaciones de Inés Hernández Casado

2024

  1. Deep learning modelling for non-invasive grape bunch detection under diverse occlusion conditions

    Computers and Electronics in Agriculture, Vol. 226

  2. Image analysis with deep learning for early detection of downy mildew in grapevine

    Scientia Horticulturae, Vol. 331

  3. In-field disease symptom detection and localisation using explainable deep learning: Use case for downy mildew in grapevine

    Computers and Electronics in Agriculture, Vol. 226

2023

  1. Inteligencia artificial y visión por ordenador para evaluar los componentes del rendimiento de la vid en viñedos comerciales

    BIO Web of Conferences: 44th World Congress of Vine and Wine

  2. Using artificial intelligence (AI) for grapevine disease detection based on images

    BIO Web of Conferences: 44th World Congress of Vine and Wine

2022

  1. Assessment of downy mildew in grapevine using computer vision and fuzzy logic. Development and validation of a new method

    Oeno One, Vol. 56, Núm. 3, pp. 41-53

2021

  1. Aplicación de la visión por computador para evaluar la canopy en viñedos comerciales

    La Semana vitivinícola, Núm. 3589, pp. 468-471

  2. Aplicación de la visión por computador para evaluar la canopy en viñedos comerciales

    La Semana vitivinícola, Núm. 3605, pp. 1991-1994

  3. Artificial intelligence and novel sensing technologies for assessing downy mildew in grapevine

    Horticulturae, Vol. 7, Núm. 5

  4. Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions

    Computers and Electronics in Agriculture, Vol. 182

  5. Estimación de la producción de uva del viñedo mediante visión artificial

    La Semana vitivinícola, Núm. 3589, pp. 472-474

  6. Estimación de la producción de uva del viñedo mediante visión artificial

    La Semana vitivinícola, Núm. 3605, pp. 1995-1997

  7. Impact of leaf occlusions on yield assessment by computer vision in commercial vineyards

    Agronomy, Vol. 11, Núm. 5

2020

  1. A tool to improve the efficiency of waste collection: development and application to a case study

    8th Transport Research Arena, TRA 2020

  2. Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions

    Computers and Electronics in Agriculture, Vol. 178