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Classification of beef longissimus thoracis muscle tenderness using hyperspectral imaging and chemometrics
(MDPI, 2022)
Artículo / Artikulua,
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 ...
Applications of sensing for disease detection
(Springer, 2021)
Capítulo de libro / Liburuen kapitulua,
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 ...
Hyperspectral imaging to assess the presence of powdery mildew (Erysiphe necator) in cv. Carignan Noir grapevine bunches
(MDPI, 2020)
Artículo / Artikulua,
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 ...
Exploring the potential of hyperspectral imaging to detect Esca disease complex in asymptomatic grapevine leaves
(Elsevier, 2022)
info:eu-repo/semantics/article,
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 ...
Detection of minced lamb and beef fraud using NIR spectroscopy
(Elsevier, 2019)
info:eu-repo/semantics/article,
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 ...