• Applications of sensing for disease detection 

      Castro, Ana Isabel de; Pérez Roncal, Claudia Upna Orcid; Thomasson, J. Alex; Ehsani, Reza; López Maestresalas, Ainara Upna Orcid; Yang, Chenghai; Jarén Ceballos, Carmen Upna Orcid; Wang, Tianyi; Cribben, Curtis; Marín Ederra, Diana Upna Orcid; Isakeit, Thomas; Urrestarazu Vidart, Jorge Upna Orcid; López Molina, Carlos Upna Orcid; Wang, Xiwei; Nichols, Robert L.; Santesteban García, Gonzaga Upna Orcid; Arazuri Garín, Silvia Upna Orcid; Peña, José Manuel (Springer, 2021)   Capítulo de libro / Liburuen kapitulua  OpenAccess
      The potential loss of world crop production from the effect of pests, including weeds, animal pests, pathogens and viruses has been quantifed as around 40%. In addition to the economic threat, plant diseases could have ...
    • Classification of beef longissimus thoracis muscle tenderness using hyperspectral imaging and chemometrics 

      León Ecay, Sara; López Maestresalas, Ainara Upna Orcid; Murillo Arbizu, María Teresa Upna Orcid; Beriain Apesteguía, María José Upna Orcid; Mendizábal Aizpuru, José Antonio Upna Orcid; Arazuri Garín, Silvia Upna Orcid; Jarén Ceballos, Carmen Upna Orcid; Bass, Phillip D.; Colle, Michael J.; García, David; Romano Moreno, Miguel; Insausti Barrenetxea, Kizkitza Upna Orcid (MDPI, 2022)   Artículo / Artikulua  OpenAccess
      Nowadays, the meat industry requires non-destructive, sustainable, and rapid methods that can provide objective and accurate quality assessment with little human intervention. Therefore, the present research aimed to ...
    • Combination of spectral and textural features of hyperspectral imaging for the authentication of the diet supplied to fattening cattle 

      León Ecay, Sara; Insausti Barrenetxea, Kizkitza Upna Orcid; Arazuri Garín, Silvia Upna Orcid; Goenaga Uceda, Irantzu; López Maestresalas, Ainara Upna Orcid (Elsevier, 2024)   Artículo / Artikulua  OpenAccess
      This study explored the potential of hyperspectral imaging in the near infrared region (NIR-HSI) as a non-destructive and rapid tool to discriminate among two beef fattening diets. For that purpose, a feeding trial was ...
    • Detection of minced lamb and beef fraud using NIR spectroscopy 

      López Maestresalas, Ainara Upna Orcid; Insausti Barrenetxea, Kizkitza Upna Orcid; Jarén Ceballos, Carmen Upna Orcid; Pérez Roncal, Claudia Upna Orcid; Urrutia Vera, Olaia Upna Orcid; Beriain Apesteguía, María José Upna Orcid; Arazuri Garín, Silvia Upna Orcid (Elsevier, 2019)   Artículo / Artikulua  OpenAccess
      The aim of this work was to investigate the feasibility of near-infrared spectroscopy (NIRS), combined with chemometric techniques, to detect fraud in minced lamb and beef mixed with other types of meats. For this, 40 ...
    • Exploring the potential of hyperspectral imaging to detect Esca disease complex in asymptomatic grapevine leaves 

      Pérez Roncal, Claudia Upna Orcid; Arazuri Garín, Silvia Upna Orcid; López Molina, Carlos Upna Orcid; Jarén Ceballos, Carmen Upna Orcid; Santesteban García, Gonzaga Upna Orcid; López Maestresalas, Ainara Upna Orcid (Elsevier, 2022)   Artículo / Artikulua  OpenAccess
      Precise and reliable identification of specific plant diseases is a challenge within precision agriculture nowadays. This is the case of esca, a complex grapevine trunk disease, that represents a major threat to modern ...
    • Hyperspectral imaging to assess the presence of powdery mildew (Erysiphe necator) in cv. Carignan Noir grapevine bunches 

      Pérez Roncal, Claudia Upna Orcid; López Maestresalas, Ainara Upna Orcid; López Molina, Carlos Upna Orcid; Jarén Ceballos, Carmen Upna Orcid; Urrestarazu Vidart, Jorge Upna Orcid; Santesteban García, Gonzaga Upna Orcid; Arazuri Garín, Silvia Upna Orcid (MDPI, 2020)   Artículo / Artikulua  OpenAccess
      Powdery mildew is a worldwide major fungal disease for grapevine, which adversely affects both crop yield and produce quality. Disease identification is based on visible signs of a pathogen once the plant has already been ...

      El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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